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1

Magnussen, Steen, and Johannes Breidenbach. "Retrieval of among-stand variances from one observation per stand." Journal of Forest Science 66, No. 4 (2020): 133–49. http://dx.doi.org/10.17221/141/2019-jfs.

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Forest inventories provide predictions of stand means on a routine basis from models with auxiliary variables from remote sensing as predictors and response variables from field data. Many forest inventory sampling designs do not afford a direct estimation of the among-stand variance. As consequence, the confidence interval for a model-based prediction of a stand mean is typically too narrow. We propose a new method to compute (from empirical regression residuals) an among-stand variance under sample designs that stratify sample selections by an auxiliary variable, but otherwise do not allow a
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Gomez, Mayra, Roberta Cimmino, Dario Rossi, et al. "The present of Italian Mediterranean buffalo: precision breeding based on multi-omics data." Acta IMEKO 12, no. 4 (2023): 1–4. http://dx.doi.org/10.21014/actaimeko.v12i4.1692.

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Genetic evaluation in the Italian Mediterranean Buffalo (IMB) traditionally relied on the BLUP method (best linear unbiased predictor), a mixed model system incorporating both random and fixed effects simultaneously. However, recent advancements in genome sequencing technologies have opened up the opportunity to incorporate genomic information into genetic evaluations. The ssGBLUP (single-step best linear unbiased predictor) has become the method par excellence. It replaces the traditional relationship matrix with one that combines pedigree and genomic relationships, allowing for the estimatio
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Bochenina, Marina V. "Price Forecasting in the Housing Market amid Changes in the Primary Trend." Теория и практика общественного развития, no. 8 (August 30, 2023): 137–42. http://dx.doi.org/10.24158/tipor.2023.8.16.

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The development of digital technologies contributes to the growth of the use of nonparametric methods. The presented study proposes a methodology for the forecast assessment of prices in the residential real estate market, taking into account the possible determination of the direction of dynamics in the anticipation period based on the application of nonparametric Nadaraya – Watson estimation. The forecast model construction in the work is considered on the basis of the historically established tendency of determination of the price level of the primary or secondary housing market of Krasnoda
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Krishna, Hare, Madhulika Dube, and Renu Garg. "Estimation of Stress Strength Reliability of Inverse Weibull Distribution under Progressive First Failure Censoring." Austrian Journal of Statistics 48, no. 1 (2018): 14–37. http://dx.doi.org/10.17713/ajs.v47i4.638.

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In this article, estimation of stress-strength reliability $\delta=P\left(Y<X\right)$ based on progressively first failure censored data from two independent inverse Weibull distributions with different shape and scale parameters is studied. Maximum likelihood estimator and asymptotic confidence interval of $\delta$ are obtained. Bayes estimator of $\delta$ under generalized entropy loss function using non-informative and gamma informative priors is derived. Also, highest posterior density credible interval of $\delta$ is constructed. Markov Chain Monte Carlo (MCMC) technique is used for Ba
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Radović, Dunja, and Mirko Stojčić. "Predictive modeling of critical headway based on machine learning techniques." Tehnika 77, no. 3 (2022): 354–59. http://dx.doi.org/10.5937/tehnika2203354r.

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Due to the impossibility of directly measuring of critical headway, numerous methods and procedures have been developed for its estimation. This paper uses the maximum likelihood method for estimating the same at five roundabouts, and based on the obtained results and pairs of accepted and maximum rejected headways, several predictive models based on machine learning techniques were trained and tested. Therefore, the main goal of the research is to create a model for the prediction (classification) of the critical headway, which as inputs, i.e. independent variables use pairs - accepted and ma
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Queiroga, F., J. Epstein, M. L. Erpelding, et al. "AB1678 CONSTRUCTION OF A COMPOSITE SCORE FOR PATIENT SELF-REPORT OF FLARE IN OSTEOARTHRITIS: A COMPARISON OF METHODS WITH THE FLARE-OA-16 QUESTIONNAIRE." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 2076.1–2077. http://dx.doi.org/10.1136/annrheumdis-2023-eular.1380.

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BackgroundHaving a score to assess the occurrence and severity of flares of knee or hip osteoarthritis (OA) to guide interventions is essential.ObjectivesTo compare different methods of constructing a composite score for the Flare-OA-16 self-reported questionnaire for measuring knee and hip OA flare, defined as a cluster of symptoms of sufficient duration and intensity to require initiation, change or increase in therapy [1].MethodsParticipants with a physician diagnosis of knee and hip OA completed a validated 16-item questionnaire [2,3] assessing five dimensions of flare in OA: pain, swellin
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Mihailovic, Zoran, Tatjana Atanasijevic, Vesna Popovic, Miroslav B. Milosevic, and Jan P. Sperhake. "Estimation of the Postmortem Interval by Analyzing Potassium in the Vitreous Humor." American Journal of Forensic Medicine and Pathology 33, no. 4 (2012): 400–403. http://dx.doi.org/10.1097/paf.0b013e31826627d0.

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8

Youn Ta, Marc, Amandine Carine Njeugeut Mbiafeu, Jean-Robert Kamenan Satti, Tchimou Vincent Assoma, and Jean Patrice Jourda. "Cartographie Automatique des Zones Inondées et Evaluation des Dommages dans le District d’Abidjan depuis Google Earth Engine." European Scientific Journal, ESJ 19, no. 32 (2023): 54. http://dx.doi.org/10.19044/esj.2023.v19n32p54.

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L'objectif de cette étude est de générer automatiquement des cartes de l'étendue des zones inondées dans le district d'Abidjan et d’évaluer les dommages causés. L’approche méthodologique a consisté à cartographier l'étendue des zones inondées en utilisant une méthode de détection des changements basée sur les données Sentinel-1 (SAR) avant et après une crue spécifique. Ensuite, les différentes classes d'enjeux (telles que les cultures, les zones habitées, les bâtiments, les routes et la densité de la population) ont été extraites à partir de diverses sources de données gratuites. Puis la super
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9

Nikulchev, Evgeny, and Alexander Chervyakov. "Prediction Intervals: A Geometric View." Symmetry 15, no. 4 (2023): 781. http://dx.doi.org/10.3390/sym15040781.

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This article provides a review of the approaches to the construction of prediction intervals. To increase the reliability of prediction, point prediction methods are replaced by intervals for many aims. The interval prediction generates a pair as future values, including the upper and lower bounds for each prediction point. That is, according to historical data, which include a graph of a continuous and discrete function, two functions will be obtained as a prediction, i.e., the upper and lower bounds of estimation. In this case, the prediction boundaries should provide guaranteed probability
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Gubarev, Vyacheslav, Serhiy Melnychuk, and Nikolay Salnikov. "METHOD AND ALGORITHMS FOR CALCULATING HIGH-PRECISION ORIENTATION AND MUTUAL BINDING OF COORDINATE SYSTEMS OF SPACECRAFT STAR TRACKERS CLUSTER BASED ON INACCURATE MEASUREMENTS." Journal of Automation and Information sciences 1 (January 1, 2022): 74–92. http://dx.doi.org/10.34229/1028-0979-2022-1-8.

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The problem of increasing the accuracy of determining the orientation of a spacecraft (SC) using a system of star trackers (ST) is considered. Methods are proposed that make it possible to use a joint field of view and refine the relative position of ST to improve the accuracy of orientation determination. The use of several star trackers leads to an increase in the angle between the directions to the stars into the joint field of view, which makes it possible to reduce the condition number of the matrices used in calculating the orientation parameters. The paper develops a combinatorial metho
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Park, Keon-woo, Yoo-Jeong Shim, Myeong-jin Lee, and Heejune Ahn. "Multi-Frame Based Homography Estimation for Video Stitching in Static Camera Environments." Sensors 20, no. 1 (2019): 92. http://dx.doi.org/10.3390/s20010092.

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In this paper, a multi-frame based homography estimation method is proposed for video stitching in static camera environments. A homography that is robust against spatio-temporally induced noise can be estimated by intervals, using feature points extracted during a predetermined time interval. The feature point with the largest blob response in each quantized location bin, a representative feature point, is used for matching a pair of video sequences. After matching representative feature points from each camera, the homography for the interval is estimated by random sample consensus (RANSAC)
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Yamaguchi, Hiromu, Daisuke Yasutake, Tomoyoshi Hirota, and Koichi Nomura. "Nondestructive Measurement Method of Leaf Area Index Using Near-infrared Radiation and Photosynthetically Active Radiation Transmitted through a Leafy Vegetable Canopy." HortScience 58, no. 1 (2023): 16–22. http://dx.doi.org/10.21273/hortsci16761-22.

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Because the leaf area index (LAI) is an essential parameter for understanding the structure and growth status of plant canopies, nondestructive and continuous estimation methods have been required. Recently, an LAI estimation method using the ratio of near-infrared radiation (NIR; 700–1000 nm) to photosynthetically active radiation (PAR; 400–700 nm) (NIRin/PARin) transmitted through a canopy has been proposed. However, because previous studies on this NIRin/PARin-based LAI estimation method are limited to tall plants (e.g., forest and rice canopies), in this study, we applied this method to a
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Vraka, Aikaterini, Vicente Bertomeu-González, Fernando Hornero, Aurelio Quesada, Raúl Alcaraz, and José J. Rieta. "Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation." Sensors 22, no. 1 (2021): 290. http://dx.doi.org/10.3390/s22010290.

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Atrial substrate modification after pulmonary vein isolation (PVI) of paroxysmal atrial fibrillation (pAF) can be assessed non-invasively by analyzing P-wave duration in the electrocardiogram (ECG). However, whether right (RA) and left atrium (LA) contribute equally to this phenomenon remains unknown. The present study splits fundamental P-wave features to investigate the different RA and LA contributions to P-wave duration. Recordings of 29 pAF patients undergoing first-ever PVI were acquired before and after PVI. P-wave features were calculated: P-wave duration (PWD), duration of the first (
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14

Kharisov, V. N., and D. A. Eremeev. "Optimal algorithm for distinguishing radio navigation signals by a set of “spaced” correlators." Radioengineering 8 (2021): 11–23. http://dx.doi.org/10.18127/j00338486-202108-02.

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The classical algorithm for signal distinction, signal detecting and estimating signal parameters consists in analyzing discrete parameter values using a correlator. The value of the parameter with the maximum absolute value of the correlator is taken as an estimate. Obviously, this is accompanied by losses in sensitivity and noise immunity, since the specified discrete parameter values do not accurately correspond to the true parameter values of the real signal. In this case, the accuracy of the parameter estimation, even at large signal-to-noise ratios, is limited by the value of the correla
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Abo El-Noor, Mona Mohamed, Naema Mahmoud Elhosary, Naglaa Fathi Khedr, and Kareema Ibraheem El-Desouky. "Estimation of Early Postmortem Interval Through Biochemical and Pathological Changes in Rat Heart and Kidney." American Journal of Forensic Medicine and Pathology 37, no. 1 (2016): 40–46. http://dx.doi.org/10.1097/paf.0000000000000214.

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16

Ratkovic, Marc, and Dustin Tingley. "Sparse Estimation and Uncertainty with Application to Subgroup Analysis." Political Analysis 25, no. 1 (2017): 1–40. http://dx.doi.org/10.1017/pan.2016.14.

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We introduce a Bayesian method, LASSOplus, that unifies recent contributions in the sparse modeling literatures, while substantially extending pre-existing estimators in terms of both performance and flexibility. Unlike existing Bayesian variable selection methods, LASSOplus both selects and estimates effects while returning estimated confidence intervals for discovered effects. Furthermore, we show how LASSOplus easily extends to modeling repeated observations and permits a simple Bonferroni correction to control coverage on confidence intervals among discovered effects. We situate LASSOplus
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17

Zhou, Qiang, and Xin Li. "Deep Homography Estimation and Its Application to Wall Maps of Wall-Climbing Robots." Applied Sciences 9, no. 14 (2019): 2908. http://dx.doi.org/10.3390/app9142908.

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When locating wall-climbing robots with vision-based methods, locating and controlling the wall-climbing robot in the pixel coordinate of the wall map is an effective alternative that eliminates the need to calibrate the internal and external parameters of the camera. The estimation accuracy of the homography matrix between the camera image and the wall map directly impacts the pixel positioning accuracy of the wall-climbing robot in the wall map. In this study, we focused on the homography estimation between the camera image and wall map. We proposed HomographyFpnNet and obtained a smaller ho
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Aydn, Berna, Başar Çolak, Yasemin Balc, and Canan Demirüstü. "Consistency of Postmortem Interval Estimations of Physicians Using Only Postmortem Changes of Putrefied Dead Bodies." American Journal of Forensic Medicine and Pathology 31, no. 3 (2010): 243–46. http://dx.doi.org/10.1097/paf.0b013e3181ee01d9.

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19

Wang, Steve C., Philip J. Everson, Heather Jianan Zhou, Dasol Park, and David J. Chudzicki. "Adaptive credible intervals on stratigraphic ranges when recovery potential is unknown." Paleobiology 42, no. 2 (2016): 240–56. http://dx.doi.org/10.1017/pab.2015.37.

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AbstractNumerous methods exist for estimating the true stratigraphic range of a fossil taxon based on the stratigraphic positions of its fossil occurrences. Many of these methods require the assumption of uniform fossil recovery potential—that fossils are equally likely to be found at any point within the taxon's true range. This assumption is unrealistic, because factors such as stratigraphic architecture, sampling effort, and the taxon's abundance and geographic range affect recovery potential. Other methods do not make this assumption, but they instead require a priori quantitative knowledg
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20

Betz, Timm. "Robust Estimation with Nonrandom Measurement Error and Weak Instruments." Political Analysis 21, no. 1 (2013): 86–96. http://dx.doi.org/10.1093/pan/mps037.

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Two common problems in applications of two-stage least squares (2SLS) are nonrandom measurement error in the endogenous variable and weak instruments. In the presence of nonrandom measurement error, 2SLS yields inconsistent estimates. In the presence of weak instruments, confidence intervals andp-values can be severely misleading. This article introduces a rank-based estimator, grounded in randomization inference, which addresses both problems within a unified framework. Monte Carlo studies illustrate the deficiencies of 2SLS and the virtues of the rank-based estimator in terms of bias and eff
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Cruz, Pedro Alexandre. "Modelagem matem�tica do padr�o de crescimento do Tambaqui (Colossoma Macropomum) atrav�s do modelo de Gomertz." Revista Brasileira de Engenharia de Pesca 11, no. 2 (2019): 18. http://dx.doi.org/10.18817/repesca.v11i2.1619.

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Uma avalia��o do comportamento do crescimento de tambaqui foi realizada utilizando o modelo matem�tico de Gompertz. Assim, proje��es dos par�metros relacionados ao crescimento do peixe foram constru�das, estas curvas consideraram as medi��es destes para o peixe da fase de alevino/juvenil at� a fase de engorda. Os par�metros considerados foram o peso do peixe, o tamanho da cabe�a, a altura da cabe�a e o comprimento do t�rax. O modelo constru�do teve por finalidade fornecer uma estimativa do padr�o de crescimento de toda a popula��o de tambaqui, sem diferenci�-los por sexo. Al�m disso, uma melho
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Ette, Ene I., Andrew W. Kelman, Catherine A. Howie, and Brian Whiting. "Interpretation of Simulation Studies for Efficient Estimation of Population Pharmacokinetic Parameters." Annals of Pharmacotherapy 27, no. 9 (1993): 1034–39. http://dx.doi.org/10.1177/106002809302700903.

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OBJECTIVE: To develop new approaches for evaluating results obtained from simulation studies used to determine sampling strategies for efficient estimation of population pharmacokinetic parameters. METHODS: One-compartment kinetics with intravenous bolus injection was assumed and the simulated data (one observation made on each experimental unit [human subject or animal]), were analyzed using NONMEM. Several approaches were used to judge the efficiency of parameter estimation. These included: (1) individual and joint confidence intervals (CIs) coverage for parameter estimates that were compute
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Rovira-Más, Francisco, Qi Wang, and Qin Zhang. "Bifocal Stereoscopic Vision for Intelligent Vehicles." International Journal of Vehicular Technology 2009 (March 29, 2009): 1–9. http://dx.doi.org/10.1155/2009/123231.

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The numerous benefits of real-time 3D awareness for autonomous vehicles have motivated the incorporation of stereo cameras to the perception units of intelligent vehicles. The availability of the distance between camera and objects is essential for such applications as automatic guidance and safeguarding; however, a poor estimation of the position of the objects in front of the vehicle can result in dangerous actions. There is an emphasis, therefore, in the design of perception engines that can make available a rich and reliable interval of ranges in front of the camera. The objective of this
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Nguyen, Thi Tuyet Mai, Elaine Evans, and Meiting Lu. "Independent directors, ownership concentration and firm performance in listed companies." Pacific Accounting Review 29, no. 2 (2017): 204–26. http://dx.doi.org/10.1108/par-07-2016-0070.

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Purpose The purpose of this paper is to investigate the impact of independent directors on firm performance in Vietnam and identify how different types of ownership structure and the presence of controlling shareholders influence the relationship. Design/methodology/approach For a sample of 217 non-financial Vietnam-listed companies during the period from 2010 to 2014, this study uses the ordinary least squares regressions to estimate the relationship between independent directors and firm performance. Two econometric techniques – the fixed effects estimation and the difference in difference e
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Hu, Jiaochan, Liangyun Liu, Jian Guo, Shanshan Du, and Xinjie Liu. "Upscaling Solar-Induced Chlorophyll Fluorescence from an Instantaneous to Daily Scale Gives an Improved Estimation of the Gross Primary Productivity." Remote Sensing 10, no. 10 (2018): 1663. http://dx.doi.org/10.3390/rs10101663.

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Solar-induced chlorophyll fluorescence (SIF) is closely linked to the photosynthesis of plants and has the potential to estimate gross primary production (GPP) at different temporal and spatial scales. However, remotely sensed SIF at a ground or space level is usually instantaneous, which cannot represent the daily total SIF. The temporal mismatch between instantaneous SIF (SIFinst) and daily GPP (GPPdaily) impacts their correlation across space and time. Previous studies have upscaled SIFinst to the daily scale based on the diurnal cycle in the cosine of the solar zenith angle ( cos ( SZA ) )
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Cyrino Oliveira, Fernando Luiz, Pedro Guilherme Costa Ferreira, and Reinaldo Castro Souza. "A Parsimonious Bootstrap Method to Model Natural Inflow Energy Series." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/158689.

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The Brazilian energy generation and transmission system is quite peculiar in its dimension and characteristics. As such, it can be considered unique in the world. It is a high dimension hydrothermal system with huge participation of hydro plants. Such strong dependency on hydrological regimes implies uncertainties related to the energetic planning, requiring adequate modeling of the hydrological time series. This is carried out via stochastic simulations of monthly inflow series using the family of Periodic Autoregressive models, PAR(p), one for each period (month) of the year. In this paper i
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Dietterich, Thomas, Majid Alkaee Taleghan, and Mark Crowley. "PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 1270–76. http://dx.doi.org/10.1609/aaai.v27i1.8487.

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Often the most practical way to define a Markov Decision Process (MDP) is as a simulator that, given a state and an action, produces a resulting state and immediate reward sampled from the corresponding distributions. Simulators in natural resource management can be very expensive to execute, so that the time required to solve such MDPs is dominated by the number of calls to the simulator. This paper presents an algorithm, DDV, that combines improved confidence intervals on the Q values (as in interval estimation) with a novel upper bound on the discounted state occupancy probabilities to inte
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Lehtinen, Sonja, Peter Ashcroft, and Sebastian Bonhoeffer. "On the relationship between serial interval, infectiousness profile and generation time." Journal of The Royal Society Interface 18, no. 174 (2021): 20200756. http://dx.doi.org/10.1098/rsif.2020.0756.

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The timing of transmission plays a key role in the dynamics and controllability of an epidemic. However, observing generation times—the time interval between the infection of an infector and an infectee in a transmission pair—requires data on infection times, which are generally unknown. The timing of symptom onset is more easily observed; generation times are therefore often estimated based on serial intervals—the time interval between symptom onset of an infector and an infectee. This estimation follows one of two approaches: (i) approximating the generation time distribution by the serial i
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Shapchenko, M. M., T. A. Shapchenko, S. E. Kligman, L. G. Maminov, O. V. Sasson, and V. M. Chernyak. "ALGORITHM OF LOCATION OF WATER INFLUX INTERVALS IN GAS WELLS." Oil and Gas Studies, no. 6 (December 30, 2015): 41–46. http://dx.doi.org/10.31660/0445-0108-2015-6-41-46.

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A method is proposed for identifying the well caused the pad flooding in the active operating well stock for locating the interval of water-influx interlayer in order to perform water isolation jobs based on the diagnostics of the producing formation current model. The searching for the pad flooding well is run in three steps: 1) Locating the group of potential wells capable to flood a pad based on estimation of the vapor phase, dynamic characteristics (velocity, flow rate), collection of dropping liquid samples for determination of additional water salinity. 2) Running the monitoring studies
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Björk, Mats, Maria E. Asplund, Diana Deyanova, and Martin Gullström. "The amount of light reaching the leaves in seagrass (Zostera marina) meadows." PLOS ONE 16, no. 9 (2021): e0257586. http://dx.doi.org/10.1371/journal.pone.0257586.

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Seagrass meadows, and other submerged vegetated habitats, support a wide range of essential ecological services, but the true extents of these services are in many ways still not quantified. One important tool needed to assess and model many of these services is accurate estimations of the systems´ primary productivity. Such productivity estimations require an understanding of the underwater light field, especially regarding the amount of light that actually reaches the plants’ photosynthetic tissue. In this study, we tested a simple practical approach to estimate leaf light exposure, relative
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GU, W., A. R. VIEIRA, R. M. HOEKSTRA, P. M. GRIFFIN, and D. COLE. "Use of random forest to estimate population attributable fractions from a case-control study of Salmonella enterica serotype Enteritidis infections." Epidemiology and Infection 143, no. 13 (2015): 2786–94. http://dx.doi.org/10.1017/s095026881500014x.

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SUMMARYTo design effective food safety programmes we need to estimate how many sporadic foodborne illnesses are caused by specific food sources based on case-control studies. Logistic regression has substantive limitations for analysing structured questionnaire data with numerous exposures and missing values. We adapted random forest to analyse data of a case-control study of Salmonella enterica serotype Enteritidis illness for source attribution. For estimation of summary population attributable fractions (PAFs) of exposures grouped into transmission routes, we devised a counterfactual estima
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Asharjabi, Sami, Hefdhallah Sakran, and Azzam Al-nahari. "Time-Domain Channel Estimation Scheme for OFDM over Fast Fading Channels." Wireless Communications and Mobile Computing 2022 (February 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/7839430.

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In high-mobility scenarios, the time variation of mobile radio channels leads to a loss of orthogonality among subcarriers in orthogonal frequency division multiplexing (OFDM) systems, resulting in intercarrier interference (ICI) and performance deterioration. Conventional channel estimation schemes are usually based on pilot tones, which are distributed in each OFDM symbol to estimate the channel variation. Hence, the channel estimator itself suffers from ICI. In this study, a new estimation scheme, which does not suffer from ICI, is proposed to estimate the channel variation within OFDM symb
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Claassen, Christopher. "Estimating Smooth Country–Year Panels of Public Opinion." Political Analysis 27, no. 1 (2018): 1–20. http://dx.doi.org/10.1017/pan.2018.32.

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At the microlevel, comparative public opinion data are abundant. But at the macrolevel—the level where many prominent hypotheses in political behavior are believed to operate—data are scarce. In response, this paper develops a Bayesian dynamic latent trait modeling framework for measuring smooth country–year panels of public opinion even when data are fragmented across time, space, and survey item. Six models are derived from this framework, applied to opinion data on support for democracy, and validated using tests of internal, external, construct, and convergent validity. The best model is r
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Januel, Jean-Marie, Stephan Harbarth, Robert Allard, et al. "Estimating Attributable Mortality Due to Nosocomial Infections Acquired in Intensive Care Units." Infection Control & Hospital Epidemiology 31, no. 4 (2010): 388–94. http://dx.doi.org/10.1086/650754.

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Background.The strength of the association between intensive care unit (ICU)-acquired nosocomial infections (NIs) and mortality might differ according to the methodological approach taken.Objective.TO assess the association between ICU-acquired NIs and mortality using the concept of population-attributable fraction (PAF) for patient deaths caused by ICU-acquired NIs in a large cohort of critically ill patients.Setting.Eleven ICUs of a French university hospital.Design.We analyzed surveillance data on ICU-acquired NIs collected prospectively during the period from 1995 through 2003. The primary
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Han, Dong, Syed Khairul Bashar, Jesús Lázaro, et al. "A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia." Biosensors 12, no. 2 (2022): 82. http://dx.doi.org/10.3390/bios12020082.

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Objective: We have developed a peak detection algorithm for accurate determination of heart rate, using photoplethysmographic (PPG) signals from a smartwatch, even in the presence of various cardiac rhythms, including normal sinus rhythm (NSR), premature atrial contraction (PAC), premature ventricle contraction (PVC), and atrial fibrillation (AF). Given the clinical need for accurate heart rate estimation in patients with AF, we developed a novel approach that reduces heart rate estimation errors when compared to peak detection algorithms designed for NSR. Methods: Our peak detection method is
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Tomioka, Kimiko, Teruyo Kitahara, Midori Shima, and Keigo Saeki. "Fraction and Number of Unemployed Associated with Self-Reported Low Back Pain: A Nation-Wide Cross-Sectional Study in Japan." International Journal of Environmental Research and Public Health 18, no. 20 (2021): 10760. http://dx.doi.org/10.3390/ijerph182010760.

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This study examined a cross-sectional association between self-reported low back pain (LBP) and unemployment among working-age people, and estimated the impact of self-reported LBP on unemployment. We used anonymized data from a nationally representative survey (24,854 men and 26,549 women aged 20–64 years). The generalized estimating equations of the multivariable Poisson regression models stratified by gender were used to estimate the adjusted prevalence ratio (PR) and 95% confidence interval (CI) for unemployment. The population attributable fraction (PAF) was calculated using Levin’s metho
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Tomioka, Kimiko, Teruyo Kitahara, Midori Shima, and Keigo Saeki. "Fraction and Number of Unemployed Associated with Self-Reported Low Back Pain: A Nation-Wide Cross-Sectional Study in Japan." International Journal of Environmental Research and Public Health 18, no. 20 (2021): 10760. http://dx.doi.org/10.3390/ijerph182010760.

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This study examined a cross-sectional association between self-reported low back pain (LBP) and unemployment among working-age people, and estimated the impact of self-reported LBP on unemployment. We used anonymized data from a nationally representative survey (24,854 men and 26,549 women aged 20–64 years). The generalized estimating equations of the multivariable Poisson regression models stratified by gender were used to estimate the adjusted prevalence ratio (PR) and 95% confidence interval (CI) for unemployment. The population attributable fraction (PAF) was calculated using Levin’s metho
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Zhan, Yiqiang, Jie Zhuang, Ying Dong, Hong Xu, Dayi Hu, and Jinming Yu. "Predicting the prevalence of peripheral arterial diseases: modelling and validation in different cohorts." Vasa 45, no. 1 (2016): 31–36. http://dx.doi.org/10.1024/0301-1526/a000492.

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Abstract. Background: To develop models for prevalence estimation of peripheral arterial disease (PAD) and to validate them in an external cohort. Methods: Model training cohort was a population based cross-sectional survey. Age, sex, smoking status, body mass index, total cholesterol (TC), high density lipoprotein (HDL), TC/HDL ratio, low density lipoprotein, fasting glucose, diabetes, hypertension, pulse pressure, and stroke history were considered candidate predicting variables. Ankle brachial index ≤ 0.9 was defined as the presence of peripheral arterial disease. Logistic regression method
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Orem, Caitlin A., and Jon D. Pelletier. "Constraining frequency–magnitude–area relationships for rainfall and flood discharges using radar-derived precipitation estimates: example applications in the Upper and Lower Colorado River basins, USA." Hydrology and Earth System Sciences 20, no. 11 (2016): 4483–501. http://dx.doi.org/10.5194/hess-20-4483-2016.

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Abstract. Flood-envelope curves (FECs) are useful for constraining the upper limit of possible flood discharges within drainage basins in a particular hydroclimatic region. Their usefulness, however, is limited by their lack of a well-defined recurrence interval. In this study we use radar-derived precipitation estimates to develop an alternative to the FEC method, i.e., the frequency–magnitude–area-curve (FMAC) method that incorporates recurrence intervals. The FMAC method is demonstrated in two well-studied US drainage basins, i.e., the Upper and Lower Colorado River basins (UCRB and LCRB, r
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Orem, C. A., and J. D. Pelletier. "Constraining frequency-magnitude-area relationships for precipitation and flood discharges using radar-derived precipitation estimates: example applications in the Upper and Lower Colorado River Basins, USA." Hydrology and Earth System Sciences Discussions 12, no. 11 (2015): 11739–82. http://dx.doi.org/10.5194/hessd-12-11739-2015.

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Abstract. Flood-envelope curves (FEC) are useful for constraining the upper limit of possible flood discharges within drainage basins in a particular hydroclimatic region. Their usefulness, however, is limited by their lack of a well-defined recurrence interval. In this study we use radar-derived precipitation estimates to develop an alternative to the FEC method, i.e. the frequency-magnitude-area-curve (FMAC) method, that incorporates recurrence intervals. The FMAC method is demonstrated in two well-studied U.S. drainage basins, i.e. the Upper and Lower Colorado River basins (UCRB and LCRB, r
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Rajoriya, Deepika, and Diwakar Shukla. "Under military war weapon support the economic bond level estimation using generalized Petersen graph with imputation." Statistics in Transition new series 24, no. 1 (2023): 295–320. http://dx.doi.org/10.59170/stattrans-2023-016.

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Several countries of the world are involved in mutual and collaborative business of military equipments, weapons in terms of their production, sales, technical maintenance, training and services. As a consequence, manufacturing of boms, rockets, missiles and other ammunitions have taken structured and smooth shape to help others where and when needed. Often the military support among countries remain open for information to the media, but sometime remain secret due to the national security and international political pressure. Such phenomenon (hidden or open support ) is a part of military sup
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Jusko, Karen Long, and W. Phillips Shively. "Applying a Two-Step Strategy to the Analysis of Cross-National Public Opinion Data." Political Analysis 13, no. 4 (2005): 327–44. http://dx.doi.org/10.1093/pan/mpi030.

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In recent years, large sets of national surveys with shared content have increasingly been used for cross-national opinion research. But scholars have not yet settled on the most flexible and efficient models for utilizing such data. We present a two-step strategy for such analysis that takes advantage of the fact that in such datasets each “cluster” (i.e., country sample) is large enough to sustain separate analysis of its internal variances and covariances. We illustrate the method by examining a puzzle of comparative electoral behavior—why does turnout decline rather than increase with the
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Holst, Karen, Hervé Liebgott, Jens E. Wilhjelm, et al. "Internal strain estimation for quantification of human heel pad elastic modulus: A phantom study." Ultrasonics 53, no. 2 (2013): 439–46. http://dx.doi.org/10.1016/j.ultras.2012.08.009.

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Wang, Lei, Yi Nong Li, Feng Zhang, and Qing Zhong Ding. "Experimental Study on Active Vibration Control of a Gear Pair System Based on FxLMS Algorithm." Advanced Materials Research 562-564 (August 2012): 532–35. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.532.

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To treat gear pair vibration due to internal excitation, an active internal gearbox structure near the gear pair is developed based on an active shaft transverse vibration control concept in the effort to tackle the gear excitation problem more directly. A controller of the FxLMS algorithm combined with frequency estimation technique is designed. And it is evaluated based on the experimental setup of the active gearbox vibration control system in contrast to fuzzy-PD controller. The experimental results show that 9.94dB attenuation in the gearbox housing vibration response can be achieved at t
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Waples, R. S. "Estimation of allele frequencies at isoloci." Genetics 118, no. 2 (1988): 371–84. http://dx.doi.org/10.1093/genetics/118.2.371.

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Abstract In some polyploid animals and plants, pairs of duplicated loci occur that share alleles encoding proteins with identical electrophoretic mobilities. Except in cases where these "isoloci" are known to be inherited tetrasomically, individual genotypes cannot be determined unambiguously, and there is no direct way to assign observed variation to a particular locus of the pair. For a pair of diallelic isoloci, nine genotypes are possible but only five phenotypes can be identified, corresponding to individuals with 0-4 doses of the variant allele. A maximum likelihood (ML) approach is used
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Das, Ujjwal, and Ranojoy Basu. "Approximate confidence intervals for the difference in proportions for partially observed binary data." Statistical Methods in Medical Research 31, no. 3 (2021): 488–509. http://dx.doi.org/10.1177/09622802211060528.

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We consider partially observed binary matched-pair data. We assume that the incomplete subjects are missing at random. Within this missing framework, we propose an EM-algorithm based approach to construct an interval estimator of the proportion difference incorporating all the subjects. In conjunction with our proposed method, we also present two improvements to the interval estimator through some correction factors. The performances of the three competing methods are then evaluated through extensive simulation. Recommendation for the method is given based on the ability to preserve type-I err
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Nam, Jun-Mo. "Efficient interval estimation of a ratio of marginal probabilities in matched-pair data: Non-iterative method." Statistics in Medicine 28, no. 23 (2009): 2929–35. http://dx.doi.org/10.1002/sim.3685.

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Latella, Claudia, Silvio Traversaro, Diego Ferigo, et al. "Simultaneous Floating-Base Estimation of Human Kinematics and Joint Torques." Sensors 19, no. 12 (2019): 2794. http://dx.doi.org/10.3390/s19122794.

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The paper presents a stochastic methodology for the simultaneous floating-base estimation of the human whole-body kinematics and dynamics (i.e., joint torques, internal and external forces). The paper builds upon our former work where a fixed-base formulation had been developed for the human estimation problem. The presented approach is validated by presenting experimental results of a health subject equipped with a wearable motion tracking system and a pair of shoes sensorized with force/torque sensors while performing different motion tasks, e.g., walking on a treadmill. The results show tha
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DESPOTIS, DIMITRIS K., and DIMITRIS DERPANIS. "A MIN–MAX GOAL PROGRAMMING APPROACH TO PRIORITY DERIVATION IN AHP WITH INTERVAL JUDGEMENTS." International Journal of Information Technology & Decision Making 07, no. 01 (2008): 175–82. http://dx.doi.org/10.1142/s0219622008002867.

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We deal with the problem of priority elicitation in the analytic hierarchy process (AHP) on the basis of imprecise pair-wise comparison judgements on decision elements. We propose a min–max goal programming formulation to derive the AHP priorities in the case that the decision maker provides preference judgements in the form of interval numbers. By applying variable transformations, we formulate a linear programming model that is capable of estimating the priorities from both consistent and inconsistent interval judgements. The proposed method is illustrated by numerical examples.
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Yan-Wei, Shi, Liu Xiao-Shan, Wang Hai-Yang, and Zhang Run-Jie. "Effects of Malathion on the Insect Succession and the Development of Chrysomya megacephala (Diptera: Calliphoridae) in the Field and Implications for Estimating Postmortem Interval." American Journal of Forensic Medicine and Pathology 31, no. 1 (2010): 46–51. http://dx.doi.org/10.1097/paf.0b013e3181c215b4.

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