Journal articles: 'Marginal parameters'

1

Hudson, Suzanne, and Paul W. Vos. "Marginal information for expectation parameters." Canadian Journal of Statistics 28, no. 4 (December 2000): 875–86. http://dx.doi.org/10.2307/3315922.

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Kharroubi, Samer A. "Approximate marginal densities of independent parameters." Statistics 46, no. 4 (February 2, 2011): 459–71. http://dx.doi.org/10.1080/02331888.2010.540667.

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De Bernardo, Maddalena, Palmiro Cornetta, Giuseppe Marotta, and Nicola Rosa. "Corneal biomechanical parameters in pellucid marginal degeneration." Journal of Current Ophthalmology 30, no. 3 (September 2018): 280. http://dx.doi.org/10.1016/j.joco.2018.06.002.

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Mishra, Ambika P., Nicol S. Harper, and Jan W. H. Schnupp. "Exploring the distribution of statistical feature parameters for natural sound textures." PLOS ONE 16, no. 6 (June 23, 2021): e0238960. http://dx.doi.org/10.1371/journal.pone.0238960.

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Sounds like “running water” and “buzzing bees” are classes of sounds which are a collective result of many similar acoustic events and are known as “sound textures”. A recent psychoacoustic study using sound textures has reported that natural sounding textures can be synthesized from white noise by imposing statistical features such as marginals and correlations computed from the outputs of cochlear models responding to the textures. The outputs being the envelopes of bandpass filter responses, the ‘cochlear envelope’. This suggests that the perceptual qualities of many natural sounds derive directly from such statistical features, and raises the question of how these statistical features are distributed in the acoustic environment. To address this question, we collected a corpus of 200 sound textures from public online sources and analyzed the distributions of the textures’ marginal statistics (mean, variance, skew, and kurtosis), cross-frequency correlations and modulation power statistics. A principal component analysis of these parameters revealed a great deal of redundancy in the texture parameters. For example, just two marginal principal components, which can be thought of as measuring the sparseness or burstiness of a texture, capture as much as 64% of the variance of the 128 dimensional marginal parameter space, while the first two principal components of cochlear correlations capture as much as 88% of the variance in the 496 correlation parameters. Knowledge of the statistical distributions documented here may help guide the choice of acoustic stimuli with high ecological validity in future research.

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Domke, J. "Learning Graphical Model Parameters with Approximate Marginal Inference." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 10 (October 2013): 2454–67. http://dx.doi.org/10.1109/tpami.2013.31.

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Evans, Robin J., and Thomas S. Richardson. "Marginal log-linear parameters for graphical Markov models." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 75, no. 4 (July 3, 2013): 743–68. http://dx.doi.org/10.1111/rssb.12020.

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Allenby, Greg M., and Peter E. Rossi. "A marginal-predictive approach to identifying household parameters." Marketing Letters 4, no. 3 (July 1993): 227–39. http://dx.doi.org/10.1007/bf00999229.

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AL-Moisheer, A. S., Refah Mohammed Alotaibi, Ghadah A. Alomani, and H. Rezk. "Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation." Mathematical Problems in Engineering 2020 (March 28, 2020): 1–12. http://dx.doi.org/10.1155/2020/5234601.

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In this study, we construct a mixture of bivariate inverse Weibull distribution. We assumed that the parameters of two marginals have Bernoulli distributions. Several properties of the proposed model are obtained, such as probability marginal density function, probability marginal cumulative function, the product moment, the moment of the two variables x and y, the joint moment-generating function, and the correlation between x and y. The real dataset has been analyzed. We observed that the mixture bivariate inverse Weibull distribution provides a better fit than the other model.

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Taufer, Emanuele. "Estimation of marginal parameters of SUP-OU processes with long range dependence." International Journal of Advanced Statistics and Probability 4, no. 2 (October 10, 2016): 102. http://dx.doi.org/10.14419/ijasp.v4i2.6722.

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Superpositions of Ornstein Uhlenbeck processes provide convenient ways to build stationary processes with given marginal distributions and long range dependence. After reviewing some of the basic features, we present several examples of processes with non Gaussian marginal distributions. Estimation of the parameters of the marginal distribution is undertaken by means of a characteristic function technique. We provide the relevant asymptotic theory as well as results of simulations and real data applications.

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Chisoi, Anca, Mariana Aşchie, and Manuela Enciu. "Morphometric Characterization of Marginal Zone Lymphoma." ARS Medica Tomitana 21, no. 1 (February 1, 2015): 17–21. http://dx.doi.org/10.1515/arsm-2015-0014.

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Abstract The morphometry in histopathology is used to characterize cell populations belonging to different tissues and to identify differences in their parameters with prognostic implications. To achieve morphometric examination were selected 6 of 8 cases identified as marginal zone lymphoma. For each case analysis was done on five fields, for each field measuring the parameters of 20 cells. The studied parameters were for cytoplasm: cytoplasmic area, maximum and minimum cytoplasmic diameter, cytoplasmic perimeter; for nucleus were measured: nuclear area, minimum and maximum nuclear diameter, nuclear perimeter, nuclear contour index, nuclear ellipticity index, nuclear irregularity index. Also the nucleo-cytoplasmic ratio was calculated in all studied cases. Marginal zone lymphoma is characterized in terms of morphometric parameters by small cytoplasmic and nuclear area, and small nucleo-cytoplasmatic ratio of about 1:1. Nuclear contour index is small, accompanied by a large ellipticity index and an small index of nuclear irregularity. Standard deviations for measured morphometric parameters are variable, having high values for cytoplasmic and nuclear area, highlighting the polymorphic nature of the cells. Morphometric aspects, with corresponding microscopic aspects of large and small lymphocyte proliferation with cleaved and uncleaved nuclei, fit this form of lymphoma in terms of clinical outcome in indolent lymphomas category.

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11

Amry, Zul. "Bayesian Estimate of Parameters for ARMA Model Forecasting." Tatra Mountains Mathematical Publications 75, no. 1 (April 1, 2020): 23–32. http://dx.doi.org/10.2478/tmmp-2020-0002.

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AbstractThis paper presents a Bayesian approach to finding the Bayes estimator of parameters for ARMA model forecasting under normal-gamma prior assumption with a quadratic loss function in mathematical expression. Obtaining the conditional posterior predictive density is based on the normal-gamma prior and the conditional predictive density, whereas its marginal conditional posterior predictive density is obtained using the conditional posterior predictive density. Furthermore, the Bayes estimator of parameters is derived from the marginal conditional posterior predictive density.

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Kulaxizi, Manuela. "Marginal deformations ofN=4SYMand open vs. closed string parameters." Nuclear Physics B 887 (October 2014): 175–200. http://dx.doi.org/10.1016/j.nuclphysb.2014.08.005.

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13

Stanghellini, Elena, and Marco Doretti. "On marginal and conditional parameters in logistic regression models." Biometrika 106, no. 3 (May 13, 2019): 732–39. http://dx.doi.org/10.1093/biomet/asz019.

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Summary We derive the exact formula linking the parameters of marginal and conditional logistic regression models with binary mediators when no conditional independence assumptions can be made. The formula has the appealing property of being the sum of terms that vanish whenever parameters of the conditional models vanish, thereby recovering well-known results as particular cases. It also permits the disentangling of direct and indirect effects as well as quantifying the distortion induced by the omission of relevant covariates, opening the way to sensitivity analysis. As the parameters of the conditional models are multiplied by terms that are always bounded, the derivations may also be used to construct reasonable bounds on the parameters of interest when relevant intermediate variables are unobserved. We assume that, conditionally on a set of covariates, the data-generating process can be represented by a directed acyclic graph. We also show how the results presented here lead to the extension of path analysis to a system of binary random variables.

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14

Forster, Jonathan J., and Allan M. Skene. "Calculation of marginal densities for parameters of multinomial distributions." Statistics and Computing 4, no. 4 (December 1994): 279–86. http://dx.doi.org/10.1007/bf00156751.

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15

Datta, Somnath, and James D. Beck. "Robust estimation of marginal regression parameters in clustered data." Statistical Modelling: An International Journal 14, no. 6 (September 23, 2014): 489–501. http://dx.doi.org/10.1177/1471082x14535481.

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16

Popović, Predrag M., Miroslav M. Ristić, and Aleksandar S. Nastić. "A geometric bivariate time series with different marginal parameters." Statistical Papers 57, no. 3 (March 22, 2015): 731–53. http://dx.doi.org/10.1007/s00362-015-0677-z.

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17

Zhou, Xinlong, Guang Zhang, Shaohua Hu, and Junzhe Li. "Optimal Estimation of Shear Strength Parameters Based on Copula Theory Coupling Information Diffusion Technique." Advances in Civil Engineering 2019 (May 26, 2019): 1–18. http://dx.doi.org/10.1155/2019/8738969.

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In geotechnical reliability analysis, random volatility in marginal distributions of shear strength parameters has been rarely considered. Unfortunately, conventional marginal distribution models cannot characterize real probability distribution accurately, leading to considerable dispersion with incomplete probabilistic information. In this paper, an estimation methodology is proposed based on copula theory coupling information diffusion technique. Firstly, information diffusion distribution is extended to represent one-dimensional marginal distributions of shear strength parameters. Secondly, copula theory is employed to characterize the dependence structures among the parameters. Eventually, equivalent sample is yielded by information diffusion distribution that has been already established. A case study in Singapore is implemented to enunciate and validate the competence of the proposed method. The performances of the candidate copulas coupling different marginal distributions are further discussed. Results indicate that information diffusion distribution can efficiently capture the random volatility of real distributions of shear strength parameters and hold remarkable superiority in modeling marginal distributions. The equivalent sample, estimated by information diffusion technique in conjunction with Gaussian copula, has considerable consistency with original data. The proposed method can provide a reference to reliability analysis in geotechnical engineering.

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18

Kennedy, Bruce. "Some Distributional Impacts of Marginal Changes to Public Pension Parameters." Canadian Public Policy / Analyse de Politiques 16, no. 1 (March 1990): 73. http://dx.doi.org/10.2307/3551260.

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19

Bell, Bradley M. "Approximating the marginal likelihood estimate for models with random parameters." Applied Mathematics and Computation 119, no. 1 (March 2001): 57–75. http://dx.doi.org/10.1016/s0096-3003(99)00230-1.

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20

Qin, Yongsong, J. N. K. Rao, and Qunshu Ren. "Confidence intervals for marginal parameters under imputation for item nonresponse." Journal of Statistical Planning and Inference 138, no. 8 (August 2008): 2283–302. http://dx.doi.org/10.1016/j.jspi.2007.10.009.

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21

Banihashemrad, SA, MR Mokhtari, MJ Mogaddas, F. Farazi, and A. Garajian. "Clinical Evaluation of Periodontal Parameters in Correct Marginal Dental Restorations." Journal of North Khorasan University of Medical Sciences 4, no. 4 (March 1, 2013): 535–41. http://dx.doi.org/10.29252/jnkums.4.4.535.

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22

DICICCIO, T. J., C. A. FIELD, and D. A. S. FRASER. "Approximations of marginal tail probabilities and inference for scalar parameters." Biometrika 77, no. 1 (March 1, 1990): 77–95. http://dx.doi.org/10.1093/biomet/77.1.77.

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23

Martin, Ryan, and Chuanhai Liu. "Marginal Inferential Models: Prior-Free Probabilistic Inference on Interest Parameters." Journal of the American Statistical Association 110, no. 512 (October 2, 2015): 1621–31. http://dx.doi.org/10.1080/01621459.2014.985827.

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24

Elbadawy, Adel Abdelsattar, Elsayed Ali Omar, and Mohammed Hosny AbdElaziz. "MicroCT evaluation for CAD/CAM occlusal veneer fit using two materials and three cement space settings." Brazilian Dental Journal 33, no. 4 (August 2022): 71–78. http://dx.doi.org/10.1590/0103-6440202204764.

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Abstract This study was aimed to evaluate the fit of occlusal veneer restoration for two CAD/CAM materials with different cement space settings, using microCT scans. Sixty resin dies were made and divided into two groups (n=30) according to the materials, (I): Hybrid all-ceramic, and (II): zirconia-reinforced lithium silicate glass-ceramic. Each group was subdivided into three subgroups (n=10) according to the cement space parameters (30, 40, and 50 µm). Occlusal veneers for the six subgroups were milled. A circle with 20 different sections was placed at the center of every scanned specimen to measure four different locations (Occlusal, Axial, Marginal, and Absolute marginal discrepancy). Data were analyzed using two-way ANOVA at a 0.05 level of significance. There was no statistically significant effect of material type on the mean values of internal and marginal gaps for the three cement space parameters (P>0.05). There were no statistically significant differences in the occlusal and axial gap between the cement space parameters, furthermore, there were statistically significant differences in marginal gap distances and absolute marginal discrepancies (P>0.05). Hybrid all-ceramic showed smaller marginal and internal discrepancies than zirconia-reinforced lithium silicate glass-ceramic without statistically significant differences, and, for both materials, 50 µm cement space significantly improved the marginal fit and absolute marginal discrepancy.

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Park, Gang-Seok, Seong-Kyun Kim, Seong-Joo Heo, Jai-Young Koak, and Deog-Gyu Seo. "Effects of Printing Parameters on the Fit of Implant-Supported 3D Printing Resin Prosthetics." Materials 12, no. 16 (August 9, 2019): 2533. http://dx.doi.org/10.3390/ma12162533.

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The purpose of the study was to investigate the influence of 3D printing parameters on fit and internal gap of 3D printed resin dental prosthesis. The dental model was simulated and fabricated for three-unit prostheses with two implants. One hundred prostheses were 3D printed with two-layer thicknesses for five build orientations using a resin (NextDent C&B; 3D systems, Soesterberg, The Netherlands) and ten prostheses were manufactured with a milling resin as control. The prostheses were seated and scanned with micro-CT (computerized tomography). Internal gap volume (IGV) was calculated from 3D reconstructed micro-CT data. IGV, marginal fit, and lengths of internal gaps were measured, and the values were analyzed statistically. For the 3D printed prostheses, IGV was smaller at 45°, 60°, and 90° compared to other build orientations. The marginal fit evaluated by absolute marginal discrepancy was smaller than other build orientations at 45° and 60°. IGV was smaller at 50 µm layer thickness than at 100 µm layer thickness, but the marginal fit was smaller at 100 µm layer thickness than at 50 µm layer thickness. The 3D printed prosthesis had smaller internal gap than the milled prosthesis. The marginal fit of the 3D printed resin prosthesis was clinically acceptable, and build orientation of 45° and 60° would be recommended when considering fit and internal gap.

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Huber, Mark, and Nevena Marić. "Multivariate Distributions with Fixed Marginals and Correlations." Journal of Applied Probability 52, no. 2 (June 2015): 602–8. http://dx.doi.org/10.1239/jap/1437658619.

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Consider the problem of drawing random variates (X1, …, Xn) from a distribution where the marginal of each Xi is specified, as well as the correlation between every pair Xi and Xj. For given marginals, the Fréchet-Hoeffding bounds put a lower and upper bound on the correlation between Xi and Xj. Any achievable correlation between Xi and Xj is a convex combination of these bounds. We call the value λ(Xi, Xj) ∈ [0, 1] of this convex combination the convexity parameter of (Xi, Xj) with λ(Xi, Xj) = 1 corresponding to the upper bound and maximal correlation. For given marginal distributions functions F1, …, Fn of (X1, …, Xn), we show that λ(Xi, Xj) = λij if and only if there exist symmetric Bernoulli random variables (B1, …, Bn) (that is {0, 1} random variables with mean ½) such that λ(Bi, Bj) = λij. In addition, we characterize completely the set of convexity parameters for symmetric Bernoulli marginals in two, three, and four dimensions.

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Tığlıoğlu, Pınar, Abdulkerim Yıldız, Murat Albayrak, Mesut Tığlıoğlu, Buğra Sağlam, Senem Maral, Hacer Berna Afacan Öztürk, Meltem Aylı, Osman Şahin, and Murat Yıldırım. "Marjinal Zon Lenfoma Tanılı Hastalarda Klinik Özellikler ve Olası Prognostik Faktörler: İki Merkezden Retrospektif Analiz." LLM Dergi 6, no. 1 (April 4, 2022): 16–21. http://dx.doi.org/10.5578/llm.20229903.

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Objective: Marginal zone lymphoma accounts 5%-17% of all non-Hodgkin lymphomas and has an indolent clinical course. The parameters that predict prognosis and the need for treatment are still unclear. The aim of the current study was to examine the impact of parameters on the course of disease and the need for treatment in marginal zone lymphoma. Patients and Methods: A retrospective study was conducted with marginal zone lymphoma patients in the hematology departments of two centres between 2010 and 2018. The demographic and disease characteristics, and also hematological and biochemical parameters at the time of diagnosis were examined. The effect of the parameters on overall survival and need for treatment were analyzed. Fourty patients were included in this study. Results: A total of 40 MZL patients, 25 (62.5%) women and 15 (37.5%) men, were evaluated. During the follow-up, 25 patients required treatment and 15 patiens were followed up without treatment. overall survival of all marginal zone lymphoma patients was 58.4 months. Overall survival was significantly higher in patients with nodal marginal zone lymphoma than in extranodal and splenic marginal zone lymphoma patients. The platelet count of untreated patients at the time of diagnosis were significantly higher than patients who received treatment (p= 0.04). Conclusion: We demonstrated platelet count at the time of diagnosis as a predictive factor for future treatment need. It is an objective and simple blood test that may be helpful to predict the course of the disease although further studies are warranted.

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Yang, Z., and S. Leibovich. "Nonlinear dynamics near the stability margin in rotating pipe flow." Journal of Fluid Mechanics 233 (December 1991): 329–47. http://dx.doi.org/10.1017/s0022112091000502.

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The nonlinear evolution of marginally unstable wave packets in rotating pipe flow is studied. These flows depend on two control parameters, which may be taken to be the axial Reynolds number R and a Rossby number, q. Marginal stability is realized on a curve in the (R, q)-plane, and we explore the entire marginal stability boundary. As the flow passes through any point on the marginal stability curve, it undergoes a supercritical Hopf bifurcation and the steady base flow is replaced by a travelling wave. The envelope of the wave system is governed by a complex Ginzburg–Landau equation. The Ginzburg–Landau equation admits Stokes waves, which correspond to standing modulations of the linear travelling wavetrain, as well as travelling wave modulations of the linear wavetrain. Bands of wavenumbers are identified in which the nonlinear modulated waves are subject to a sideband instability.

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Saengnil, Wanchanok, Munlika Anuntasainont, Natchalee Srimaneekarn, Vesna Miletic, and Pong Pongprueksa. "A Retrospective Clinical Study on Factors Influencing the Failure of NCCL Restorations." International Journal of Dentistry 2022 (April 11, 2022): 1–7. http://dx.doi.org/10.1155/2022/8048265.

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Objectives. This retrospective study evaluated the factors influencing the clinical failure of noncarious cervical lesion (NCCL) restorations. Methods. Patients were routinely treated by undergraduate or postgraduate students and randomly received a clinical recall evaluation. A retrospective study was performed with two experienced calibrated examiners to evaluate NCCL restorations, including the critical parameters of retention, caries, marginal discoloration, and marginal integrity. The factors related to the restoration included gender, age, arch site, tooth position, the presence of occlusal wear facets, caries risk, operator, adhesive strategy, and composite. The clinical failure comparison between the parameters and factors was performed using the binary logistic regression analysis. Results. A total of 460 cervical restorations from 96 patients were evaluated. The adhesive strategy and the presence of occlusal wear facets were the most important factors influencing the parameter failure. Therefore, the highest failure was marginal integrity, in which the gingival marginal integrity failure was 50.7%, and the occlusal marginal integrity failure was 42.4%. Conclusions. The main factors influencing clinical failure for partial loss, marginal discoloration, and marginal integrity were the adhesive strategy and the presence of occlusal wear facets. Therefore, marginal integrity was the most frequent failure parameter.

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Şincar, Dorina-Cerasella, Mioara Decusară, Gabriela Popa, Gina-Păuniţa Grecu, and Gabriel-Valeriu Popa. "Evaluation of clinical and biological parameters concerning the implications of smoking on the periodontium." Romanian Journal of Stomatology 65, no. 1 (March 31, 2019): 38–42. http://dx.doi.org/10.37897/rjs.2019.1.6.

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Pepinsky, Thomas B. "Visual heuristics for marginal effects plots." Research & Politics 5, no. 1 (January 2018): 205316801875666. http://dx.doi.org/10.1177/2053168018756668.

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Common visual heuristics used to interpret marginal effects plots are susceptible to Type-1 error. This susceptibility varies as a function of (a) sample size, (b) stochastic error in the true data generating process, and (c) the relative size of the main effects of the causal variable versus the moderator. I discuss simple alternatives to these standard visual heuristics that may improve inference and do not depend on regression parameters.

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32

Bell, B. M. "The marginal likelihood for parameters in a discrete Gauss-Markov process." IEEE Transactions on Signal Processing 48, no. 3 (March 2000): 870–73. http://dx.doi.org/10.1109/78.824682.

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Koller, Clarissa D., Tatiana Pereira-Cenci, and Noéli Boscato. "Parameters Associated with Marginal Bone Loss around Implant after Prosthetic Loading." Brazilian Dental Journal 27, no. 3 (June 2016): 292–97. http://dx.doi.org/10.1590/0103-6440201600874.

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Abstract This study evaluated retrospectively the association among occlusal, periodontal and implant-prosthetic parameters and marginal bone loss (MBL) around implants and survival rate at 5.7 ±3.2 years of follow-up after prosthetic loading. Eighty-two patients received 164 external hexagon implants. After the standard healing period (3 to 6 months), the implants were restored with single-tooth or up to three splinted crowns. All patients were followed according to a strict maintenance program with regular recalls and clinically evaluated by a calibrated examiner. The MBL measurements taken from standardized radiographs made at permanent crown placement (baseline) and after the last evaluation were calculated considering occlusal, periodontal and implant-prosthetic parameters. Veneer fractures and abutment loosening were not considered failure. Two implants failed during the follow-up period, resulting in a survival rate of 98.8%. Cox regression analyses showed MBL associated with non-working side contacts (p=0.047), inadequate anterior guidance (p=0.001), lateral group guidance involving teeth and implants (p=0.015), periimplant plaque index (p=0.035), prosthetic design (p=0.030) and retention (p=0.006). Inadequate occlusal pattern guide, presence of visible plaque, and cemented and splinted implant-supported restoration were associated with greater MBL around the implant.

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Ahmed, Anwaar, Tariq Usman Saeed, Jackeline Murillo-Hoyos, and Samuel Labi. "Pavement Repair Marginal Costs: Accounting for Heterogeneity Using Random-Parameters Regression." Journal of Infrastructure Systems 23, no. 4 (December 2017): 04017012. http://dx.doi.org/10.1061/(asce)is.1943-555x.0000367.

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Drichoutis, Andreas C., and Rodolfo M. Nayga. "Marginal Changes in Random Parameters Ordered Response Models with Interaction Terms." Econometric Reviews 30, no. 5 (April 25, 2011): 565–76. http://dx.doi.org/10.1080/07474938.2011.553564.

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Albayrak, Haydar, Ravza Eraslan, Ozan Temizkanli, Bahar Sayin Sahin, Mustafa Ayata, and Taygun Sezer. "The Effect of Sintering Procedures on Fit and Color in Zirconia Crowns." Journal of Advanced Oral Research 13, no. 2 (October 18, 2022): 245–51. http://dx.doi.org/10.1177/23202068221129025.

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Purpose: The aim of this study was to examine the effects of various sintering procedures on the color parameters, marginal, and internal fit of zirconia crowns. Materials and Methods: Overall, 60 zirconia crowns were produced using 3 distinct zirconia blocks (Wieland Zenostar, Zirkonzahn Ice Translucent, and Zirkonzahn Prettau). For the sintering procedure of the crowns, six groups were created as follows: Wieland-Standard, Wieland-Speed, Ice-Standard, Ice-Speed, Prettau-Slow, and Prettau-Standard programs. The crowns were assigned into groups ( n = 10 in each group). The color parameters, marginal fit, and internal fit of the crowns were evaluated. The normality of data distribution was evaluated with the Kolmogrov–Smirnov test. Two independent samples t-test and Mann–Whitney U test were used to compare the sintering groups. Results: Acceleration of sintering caused a significant change in the color parameters of the Wieland and Ice groups but not in the Prettau group. In the Wieland group, marginal ( p = .047) and internal ( p = .004) gap values of speed sintering were found to be significantly lower than those in standard sintering. In the Ice group, the marginal gap values of speed sintering were found to be significantly lower than those in standard sintering ( p = .019). In the Prettau group, the marginal gap values of standard sintering were found to be significantly higher ( p = .035) than those in slow sintering. Conclusions: It was concluded that the effects of sintering procedures on color parameters, and internal and marginal fit of zirconia crowns were clinically insignificant. Speed sintering can be recommended for zirconia restorations.

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Banovec, Primož, and Polona Domadenik. "Defining Economic Level of Losses in Shadow: Identification of Parameters and Optimization Framework." Proceedings 2, no. 11 (August 7, 2018): 599. http://dx.doi.org/10.3390/proceedings2110599.

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Water losses are in focus of water supply management in last decades. Basic and widely accepted indicator is ILI Index, but is insufficient, when water resources are abundant, treatment costs low and energy consumption miniscule due to gravity. In such situation several authors introduced more detailed analysis defining “Economic Level of Leakage” (ELL) in short run. This analysis provides an insight into shadow market of leakages that is defined by marginal cost of water supplied on supply side and by marginal cost of repairs to mitigate water loss on demand side and provide empirical example based on real water supply system (WSS) data.

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Reche, Fernando, María Morales, and Antonio Salmerón. "Statistical Parameters Based on Fuzzy Measures." Mathematics 8, no. 11 (November 12, 2020): 2015. http://dx.doi.org/10.3390/math8112015.

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In this paper, we study the problem of defining statistical parameters when the uncertainty is expressed using a fuzzy measure. We extend the concept of monotone expectation in order to define a monotone variance and monotone moments. We also study parameters that allow the joint analysis of two functions defined over the same reference set. Finally, we propose some parameters over product spaces, considering the case in which a function over the product space is available and also the case in which such function is obtained by combining those in the marginal spaces.

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Mumcu, Emre, and Ömür Dereci. "Assessment of the Effect of Clinical Independent Risk Factors on Marginal Bone Loss in 2-Implant–Supported Locator-Retained Mandibular Overdentures." Journal of Oral Implantology 45, no. 3 (June 1, 2019): 207–12. http://dx.doi.org/10.1563/aaid-joi-d-18-00193.

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The objective of this study is to evaluate the effect of clinical parameters of gender, age, implant length, implant diameter, interimplant distance, and locator height on marginal bone loss in 2-implant–supported locator-retained mandibular overdenture prostheses in 6, 12, and 24 recall sessions after loading. Clinical and radiographic data of patients who were treated between January 1, 2014, and January 4, 2018, were retrieved from the archives. The clinical data of gender, age, implant length, implant diameter, and locator height were recorded. The mesial and distal marginal bone levels of all implants and interimplant distances were determined at baseline and at 6-, 12-, and 24-month recall sessions on panoramic radiographs in a computer program. Statistical analysis was used to evaluate the effect of implant length, implant diameter, gender, age, interimplant distance, and locator height on marginal bone loss at the 6-, 12-, and 24-month control evaluations. A total of 57 patients with a mean age of 59.2 ± 9.8 years and 114 implants were included in the study. Among the aforementioned parameters, only the locator height had a major effect on the distal and mesial marginal bone loss (P < .05). A locators with a 4-mm height showed statistically significant distal and mesial marginal bone loss compared with locators with 2- and 3-mm heights in all control periods (P < .05). The locator with a 4-mm height generated more stress compared with locators with 2- and 3-mm heights, leading to marginal bone loss. The absence of oral hygiene evaluation was identified as a limitation of the study. Clinical parameters of gender, age, implant length, implant diameter, and interimplant distance did not seem to affect marginal bone loss in the study population of the current study.

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Engle, T. E., C. F. Nockels, K. L. Hossner, C. V. Kimberling, R. E. Toombs, R. S. Yemm, D. L. Weaber, and A. B. Johnson. "Marginal zinc deficiency affects biochemical and physiological parameters in beef heifer calves." Asian-Australasian Journal of Animal Sciences 10, no. 5 (October 1, 1997): 471–77. http://dx.doi.org/10.5713/ajas.1997.471.

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Shigemasu, Kazuo, and Tomoyasu Nakamura. "A Bayesian Marginal Inference in Estimating item Parameters Using the Gibbs Sampler." Behaviormetrika 23, no. 1 (January 1996): 97–110. http://dx.doi.org/10.2333/bhmk.23.97.

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Engelsen*, O., H. Hop, E. N. Hegseth, E. Hansen, and S. Falk-petersen. "Deriving phytoplankton biomass in the Marginal Ice Zone from satellite observable parameters." International Journal of Remote Sensing 25, no. 7-8 (April 2004): 1453–57. http://dx.doi.org/10.1080/01431160310001592436.

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Preisser, John S., and Jamie Perin. "Deletion diagnostics for marginal mean and correlation model parameters in estimating equations." Statistics and Computing 17, no. 4 (August 3, 2007): 381–93. http://dx.doi.org/10.1007/s11222-007-9031-1.

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Huber, Mark, and Nevena Marić. "Multivariate Distributions with Fixed Marginals and Correlations." Journal of Applied Probability 52, no. 02 (June 2015): 602–8. http://dx.doi.org/10.1017/s0021900200012675.

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Consider the problem of drawing random variates (X 1, …, X n ) from a distribution where the marginal of each X i is specified, as well as the correlation between every pair X i and X j . For given marginals, the Fréchet-Hoeffding bounds put a lower and upper bound on the correlation between X i and X j . Any achievable correlation between X i and X j is a convex combination of these bounds. We call the value λ(X i , X j ) ∈ [0, 1] of this convex combination the convexity parameter of (X i , X j ) with λ(X i , X j ) = 1 corresponding to the upper bound and maximal correlation. For given marginal distributions functions F 1, …, F n of (X 1, …, X n ), we show that λ(X i , X j ) = λ ij if and only if there exist symmetric Bernoulli random variables (B 1, …, B n ) (that is {0, 1} random variables with mean ½) such that λ(B i , B j ) = λ ij . In addition, we characterize completely the set of convexity parameters for symmetric Bernoulli marginals in two, three, and four dimensions.

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Wen-Yi Wei, Wen-Yi Wei, Yu-Hsuan Chen Wen-Yi Wei, Chia-Dan Cheng Yu-Hsuan Chen, Yu Hsiao Chia-Dan Cheng, Cheng-En Sung Yu Hsiao, Guo-Liang Cheng Cheng-En Sung, and Wan-Chien Cheng Guo-Liang Cheng. "Soft Tissue Parameters and Esthetic Index Changes in Platform Switching Implant: A Systematic Review and Meta-Analysis." Journal of Periodontics and Implant Dentistry 5, no. 1 (April 2022): 038–48. http://dx.doi.org/10.53106/261634032022040501005.

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<p>Purpose: The purpose of this study was to perform a systematic review and meta-analysis to critically evaluate the available literature to statistically analyze the effects of platform matched (PM) and platform switching (PS) implants on the peri-implant soft tissue changes and esthetic outcomes. Materials and methods: Electronic databases of the Cochrane Library, Embase, CINAHL and PubMed were searched for human randomized controlled trials (RCTs) with clearly outcome measurement in comparison between PM and PS implant. Primary outcomes included midfacial keratinized gingiva (KG) thickness, width of KG, marginal gingiva height gain, papilla height, and pink esthetic score. Secondary outcomes included bone level, probing depth, plaque index, and sulcus bleeding index. All the included studies had to follow up for at least 1 year after function. Results: A total of 7 RCTs were included in the meta-analysis. Midfacial KG thickness (weighted mean difference (WMD) = 1.34 mm, P < 0.0001), marginal gingiva height (WMD = 0.30 mm, P = 0.01), papilla height (WMD = 0.18 mm, P = 0.003), bone level (WMD = 0.34 mm, P < 0.00001) and probing depth (WMD = -0.22 mm, P = 0.002) demonstrated statistically difference in comparison of PS and PM implants. The result of width of KG (P = 0.92), PES score (P = 0.73), plaque index (P = 0.97) and sulcus bleeding index (P = 0.78) showed no statistical difference. Conclusion: Meta-analysis showed better performance of midfacial KG thickness, marginal gingiva height and papilla height in PS implant than that in PM implants. No statistically difference was found in width of KG and PES score between PS implants and PM implants.</p> <p> </p>

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Inoue, Hiroaki, Koji Hukushima, and Toshiaki Omori. "Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis–Hastings Method." Entropy 24, no. 1 (January 12, 2022): 115. http://dx.doi.org/10.3390/e24010115.

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Extracting latent nonlinear dynamics from observed time-series data is important for understanding a dynamic system against the background of the observed data. A state space model is a probabilistic graphical model for time-series data, which describes the probabilistic dependence between latent variables at subsequent times and between latent variables and observations. Since, in many situations, the values of the parameters in the state space model are unknown, estimating the parameters from observations is an important task. The particle marginal Metropolis–Hastings (PMMH) method is a method for estimating the marginal posterior distribution of parameters obtained by marginalization over the distribution of latent variables in the state space model. Although, in principle, we can estimate the marginal posterior distribution of parameters by iterating this method infinitely, the estimated result depends on the initial values for a finite number of times in practice. In this paper, we propose a replica exchange particle marginal Metropolis–Hastings (REPMMH) method as a method to improve this problem by combining the PMMH method with the replica exchange method. By using the proposed method, we simultaneously realize a global search at a high temperature and a local fine search at a low temperature. We evaluate the proposed method using simulated data obtained from the Izhikevich neuron model and Lévy-driven stochastic volatility model, and we show that the proposed REPMMH method improves the problem of the initial value dependence in the PMMH method, and realizes efficient sampling of parameters in the state space models compared with existing methods.

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Sandu, Liliana, Sorin Porojan, and Florin Topală. "Marginal Adaptation of Cast Metallic Dental Crowns Using Microplasma Welding Procedures." Advanced Materials Research 383-390 (November 2011): 4051–57. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.4051.

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Modern welding proceedings can be a beneficial method for repairing marginal adaptation defects in fixed prostheses technology. The aim of the study was to conduct experimental investigations to determine the optimal microplasma welding parameters according to the defect type. Different Ni-Cr alloy cast metal restorations with marginal defects were selected and divided depending on the repair possibility. A microplasma welding device, Welder, was used and as filling material a specific Ni-Cr wire was chosen. The process parameters were determined for each case. Introducing the practice of welding in dental technology requires prior experiments to determine the process parameters for the individual processes and their reproducibility.

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León-Novelo, Luis, Claudio Fuentes, and Sarah Emerson. "Marginal likelihood estimation of negative binomial parameters with applications to RNA-seq data." Biostatistics 18, no. 4 (March 19, 2017): 637–50. http://dx.doi.org/10.1093/biostatistics/kxx006.

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SUMMARY RNA-Seq data characteristically exhibits large variances, which need to be appropriately accounted for in any proposed model. We first explore the effects of this variability on the maximum likelihood estimator (MLE) of the dispersion parameter of the negative binomial distribution, and propose instead to use an estimator obtained via maximization of the marginal likelihood in a conjugate Bayesian framework. We show, via simulation studies, that the marginal MLE can better control this variation and produce a more stable and reliable estimator. We then formulate a conjugate Bayesian hierarchical model, and use this new estimator to propose a Bayesian hypothesis test to detect differentially expressed genes in RNA-Seq data. We use numerical studies to show that our much simpler approach is competitive with other negative binomial based procedures, and we use a real data set to illustrate the implementation and flexibility of the procedure.

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Guo, F. Richard, and Thomas S. Richardson. "On testing marginal versus conditional independence." Biometrika 107, no. 4 (July 22, 2020): 771–90. http://dx.doi.org/10.1093/biomet/asaa040.

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Summary We consider testing marginal independence versus conditional independence in a trivariate Gaussian setting. The two models are nonnested, and their intersection is a union of two marginal independences. We consider two sequences of such models, one from each type of independence, that are closest to each other in the Kullback–Leibler sense as they approach the intersection. They become indistinguishable if the signal strength, as measured by the product of two correlation parameters, decreases faster than the standard parametric rate. Under local alternatives at such a rate, we show that the asymptotic distribution of the likelihood ratio depends on where and how the local alternatives approach the intersection. To deal with this nonuniformity, we study a class of envelope distributions by taking pointwise suprema over asymptotic cumulative distribution functions. We show that these envelope distributions are well behaved and lead to model selection procedures with rate-free uniform error guarantees and near-optimal power. To control the error even when the two models are indistinguishable, rather than insist on a dichotomous choice, the proposed procedure will choose either or both models.

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Djordjevic, Miodrag, Miroslav Ristic, and Bogdan Pirkovic. "Identifying latent components of the TINAR(1) model." Filomat 35, no. 13 (2021): 4469–82. http://dx.doi.org/10.2298/fil2113469d.

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In this paper we give a solution for the problem of identifying and predicting latent components of the integer-valued time series with skewed Skellam marginal distribution. At the beginning, expressions for latent components identification and prediction are derived. These expressions give us a possibility of revealing the values of two hidden, immeasurable components which affect the integer-valued time series with skewed Skellam marginals. Yule-Walker estimators of the unknown parameters are obtained. Also, quality of identification and lag-one prediction is tested on simulated data. At the very end, the model validation is performed in application on the real-life data.

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Journal articles on the topic 'Marginal parameters'

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