Artículos de revistas: "Mixed variables"

1

Daudin, J. J. "Selection of Variables in Mixed-Variable Discriminant Analysis". Biometrics 42, n.º 3 (septiembre de 1986): 473. http://dx.doi.org/10.2307/2531198.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

2

ARAKAWA, Masao, Takaharu Shirai, Hitomi Kono, Hirotaka NAKAYAMA y Hiroshi ISHIKAWA. "Approximate Optimization Using RBF : Mixed variable Optimization with Discrete Variables". Proceedings of Design & Systems Conference 2003.13 (2003): 108–11. http://dx.doi.org/10.1299/jsmedsd.2003.13.108.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

3

Vagabov, A. I. y A. H. Abud. "Variable separation method in solving multidimensional mixed problems with separable variables". Doklady Mathematics 89, n.º 3 (mayo de 2014): 263–66. http://dx.doi.org/10.1134/s1064562414030053.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

4

Galicer, Daniel, Martín Mansilla y Santiago Muro. "Mixed Bohr radius in several variables". Transactions of the American Mathematical Society 373, n.º 2 (5 de noviembre de 2019): 777–96. http://dx.doi.org/10.1090/tran/7870.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

5

Saracco, J. y M. Chavent. "Clustering of Variables for Mixed Data". EAS Publications Series 77 (2016): 121–69. http://dx.doi.org/10.1051/eas/1677007.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

6

Andrews, Bryan, Joseph Ramsey y Gregory F. Cooper. "Scoring Bayesian networks of mixed variables". International Journal of Data Science and Analytics 6, n.º 1 (11 de enero de 2018): 3–18. http://dx.doi.org/10.1007/s41060-017-0085-7.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

7

Hamid, Hashibah, Nor Idayu Mahat y Safwati Ibrahim. "ADAPTIVE VARIABLE EXTRACTIONS WITH LDA FOR CLASSIFICATION OF MIXED VARIABLES, AND APPLICATIONS TO MEDICAL DATA". Journal of Information and Communication Technology 20, Number 3 (11 de junio de 2021): 305–27. http://dx.doi.org/10.32890/jict2021.20.3.2.

Texto completo

Resumen

The strategy surrounding the extraction of a number of mixed variables is examined in this paper in building a model for Linear Discriminant Analysis (LDA). Two methods for extracting crucial variables from a dataset with categorical and continuous variables were employed, namely, multiple correspondence analysis (MCA) and principal component analysis (PCA). However, in this case, direct use of either MCA or PCA on mixed variables is impossible due to restrictions on the structure of data that each method could handle. Therefore, this paper executes some adjustments including a strategy for managing mixed variables so that those mixed variables are equivalent in values. With this, both MCA and PCA can be performed on mixed variables simultaneously. The variables following this strategy of extraction were then utilised in the construction of the LDA model before applying them to classify objects going forward. The suggested models, using three real sets of medical data were then tested, where the results indicated that using a combination of the two methods of MCA and PCA for extraction and LDA could reduce the model’s size, having a positive effect on classifying and better performance of the model since it leads towards minimising the leave-one-out error rate. Accordingly, the models proposed in this paper, including the strategy that was adapted was successful in presenting good results over the full LDA model. Regarding the indicators that were used to extract and to retain the variables in the model, cumulative variance explained (CVE), eigenvalue, and a non-significant shift in the CVE (constant change), could be considered a useful reference or guideline for practitioners experiencing similar issues in future.

Los estilos APA, Harvard, Vancouver, ISO, etc.

8

Lijie, Cui, Lü Zhenzhou y Li Guijie. "Reliability Analysis in Presence of Random Variables and Fuzzy Variables". Journal of Applied Mathematics 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/365051.

Texto completo

Resumen

For mixed uncertainties of random variables and fuzzy variables in engineering, three indices, that is, interval reliability index, mean reliability index, and numerical reliability index, are proposed to measure safety of structure. Comparing to the reliability membership function for measuring the safety in case of mixed uncertainties, the proposed indices are more intuitive and easier to represent the safety degree of the engineering structure, and they are more suitable for the reliability design in the case of the mixed uncertainties. The differences and relations among three proposed indices are investigated, and their applicability is compared. Furthermore, a technique based on the probability density function evolution method is employed to improve the computational efficiency of the proposed indices. At last, a numerical example and two engineering examples are illustrated to demonstrate the feasibility, reasonability, and efficiency of the computational technique of the proposed indices.

Los estilos APA, Harvard, Vancouver, ISO, etc.

9

Lee, Min Ho. "Mixed Jacobi-like forms of several variables". International Journal of Mathematics and Mathematical Sciences 2006 (2006): 1–14. http://dx.doi.org/10.1155/ijmms/2006/31542.

Texto completo

Resumen

We study mixed Jacobi-like forms of several variables associated to equivariant maps of the Poincaré upper half-plane in connection with usual Jacobi-like forms, Hilbert modular forms, and mixed automorphic forms. We also construct a lifting of a mixed automorphic form to such a mixed Jacobi-like form.

Los estilos APA, Harvard, Vancouver, ISO, etc.

10

Shim, Jooyong. "Kernel Poisson regression for mixed input variables". Journal of the Korean Data and Information Science Society 23, n.º 6 (30 de noviembre de 2012): 1231–39. http://dx.doi.org/10.7465/jkdi.2012.23.6.1231.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

11

NAKANISHI, Hiroko. "Discrimination on Mixed Binary and Continuous Variables". Japanese journal of applied statistics 22, n.º 2 (1993): 51–65. http://dx.doi.org/10.5023/jappstat.22.51.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

12

McCane, Brendan y Michael Albert. "Distance functions for categorical and mixed variables". Pattern Recognition Letters 29, n.º 7 (mayo de 2008): 986–93. http://dx.doi.org/10.1016/j.patrec.2008.01.021.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

13

Lee, Sanghak, Hyowon Kim, Jaehwan Kim y Greg M. Allenby. "A choice model for mixed decision variables". Journal of Choice Modelling 28 (septiembre de 2018): 82–96. http://dx.doi.org/10.1016/j.jocm.2018.05.003.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

14

Yang, Miin-Shen, Pei-Yuan Hwang y De-Hua Chen. "Fuzzy clustering algorithms for mixed feature variables". Fuzzy Sets and Systems 141, n.º 2 (enero de 2004): 301–17. http://dx.doi.org/10.1016/s0165-0114(03)00072-1.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

15

Bairamov, Ismihan y Safar Parsi. "Order statistics from mixed exchangeable random variables". Journal of Computational and Applied Mathematics 235, n.º 16 (junio de 2011): 4629–38. http://dx.doi.org/10.1016/j.cam.2010.04.030.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

16

Adduri, Phani R. y Ravi C. Penmetsa. "System reliability analysis for mixed uncertain variables". Structural Safety 31, n.º 5 (septiembre de 2009): 375–82. http://dx.doi.org/10.1016/j.strusafe.2009.02.001.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

17

Vichi, Maurizio, Donatella Vicari y Henk A. L. Kiers. "Clustering and dimension reduction for mixed variables". Behaviormetrika 46, n.º 2 (11 de marzo de 2019): 243–69. http://dx.doi.org/10.1007/s41237-018-0068-6.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

18

Krzanowski, W. J. "Selection of variables, and assessment of their performance, in mixed-variable discriminant analysis". Computational Statistics & Data Analysis 19, n.º 4 (abril de 1995): 419–31. http://dx.doi.org/10.1016/0167-9473(94)00011-7.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

19

Mahat, Nor Idayu, Wojtek Janusz Krzanowski y Adolfo Hernandez. "Variable selection in discriminant analysis based on the location model for mixed variables". Advances in Data Analysis and Classification 1, n.º 2 (17 de julio de 2007): 105–22. http://dx.doi.org/10.1007/s11634-007-0009-9.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

20

Mbina Mbina, Alban, Guy Martial Nkiet y Fulgence Eyi Obiang. "Variable selection in discriminant analysis for mixed continuous-binary variables and several groups". Advances in Data Analysis and Classification 13, n.º 3 (21 de septiembre de 2018): 773–95. http://dx.doi.org/10.1007/s11634-018-0343-0.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

21

Krusińska, Ewa. "New Procedure for Selection of Variables in Location Model for Mixed Variable Discrimination". Biometrical Journal 31, n.º 5 (1989): 511–23. http://dx.doi.org/10.1002/bimj.4710310502.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

22

Jin, Shaobo, Fan Yang-Wallentin y Kenneth A. Bollen. "A unified model-implied instrumental variable approach for structural equation modeling with mixed variables". Psychometrika 86, n.º 2 (junio de 2021): 564–94. http://dx.doi.org/10.1007/s11336-021-09771-4.

Texto completo

Resumen

AbstractThe model-implied instrumental variable (MIIV) estimator is an equation-by-equation estimator of structural equation models that is more robust to structural misspecifications than full information estimators. Previous studies have concentrated on endogenous variables that are all continuous (MIIV-2SLS) or all ordinal . We develop a unified MIIV approach that applies to a mixture of binary, ordinal, censored, or continuous endogenous observed variables. We include estimates of factor loadings, regression coefficients, variances, and covariances along with their asymptotic standard errors. In addition, we create new goodness of fit tests of the model and overidentification tests of single equations. Our simulation study shows that the proposed MIIV approach is more robust to structural misspecifications than diagonally weighted least squares (DWLS) and that both the goodness of fit model tests and the overidentification equations tests can detect structural misspecifications. We also find that the bias in asymptotic standard errors for the MIIV estimators of factor loadings and regression coefficients are often lower than the DWLS ones, though the differences are small in large samples. Our analysis shows that scaling indicators with low reliability can adversely affect the MIIV estimators. Also, using a small subset of MIIVs reduces small sample bias of coefficient estimates, but can lower the power of overidentification tests of equations.

Los estilos APA, Harvard, Vancouver, ISO, etc.

23

Bishnoi, Sudha y BK Hooda. "A survey of distance measures for mixed variables". International Journal of Chemical Studies 8, n.º 4 (1 de julio de 2020): 338–43. http://dx.doi.org/10.22271/chemi.2020.v8.i4f.10087.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

24

Rosenthal, H. y J. Binia. "On the epsilon entropy of mixed random variables". IEEE Transactions on Information Theory 34, n.º 5 (septiembre de 1988): 1110–14. http://dx.doi.org/10.1109/18.21244.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

25

Cox, D. R. y Nanny Wermuth. "Likelihood Factorizations for Mixed Discrete and Continuous Variables". Scandinavian Journal of Statistics 26, n.º 2 (junio de 1999): 209–20. http://dx.doi.org/10.1111/1467-9469.00145.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

26

Ichino, Manabu y Jack Sklansky. "The relative neighborhood graph for mixed feature variables". Pattern Recognition 18, n.º 2 (enero de 1985): 161–67. http://dx.doi.org/10.1016/0031-3203(85)90040-8.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

27

Dash, Sanjeeb, Santanu S. Dey y Oktay Günlük. "On mixed-integer sets with two integer variables". Operations Research Letters 39, n.º 5 (septiembre de 2011): 305–9. http://dx.doi.org/10.1016/j.orl.2011.06.010.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

28

Núñez, Marian, Angel Villarroya y José María Oller. "Minimum Distance Probability Discriminant Analysis for Mixed Variables". Biometrics 59, n.º 2 (junio de 2003): 248–53. http://dx.doi.org/10.1111/1541-0420.00031.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

29

Harring, Jeffrey R. "A Nonlinear Mixed Effects Model for Latent Variables". Journal of Educational and Behavioral Statistics 34, n.º 3 (septiembre de 2009): 293–318. http://dx.doi.org/10.3102/1076998609332750.

Texto completo

Resumen

The nonlinear mixed effects model for continuous repeated measures data has become an increasingly popular and versatile tool for investigating nonlinear longitudinal change in observed variables. In practice, for each individual subject, multiple measurements are obtained on a single response variable over time or condition. This structure can be adapted to examine the change in latent variables rather than modeling change in manifest variables. This article considers a nonlinear mixed effects model for describing nonlinear change of a latent construct over time, where the latent construct of interest is measured by multiple indicators gathered at each measurement occasion. To accomplish this, the nonlinear mixed effects model is modified to include a measurement model that explicitly expresses the relationship of the observed variables to the latent constructs. A method for marginal maximum likelihood estimation of this model is presented and discussed. An example using education data is provided to illustrate the utility of the model.

Los estilos APA, Harvard, Vancouver, ISO, etc.

30

COX, D. R. y NANNY WERMUTH. "Response models for mixed binary and quantitative variables". Biometrika 79, n.º 3 (1992): 441–61. http://dx.doi.org/10.1093/biomet/79.3.441.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

31

Elkhoraibi, Tarek y Khalid M. Mosalam. "Towards error-free hybrid simulation using mixed variables". Earthquake Engineering & Structural Dynamics 36, n.º 11 (2007): 1497–522. http://dx.doi.org/10.1002/eqe.691.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

32

Qu, Yunyun y Jiwen Zeng. "Diophantine approximation with prime variables and mixed powers". Ramanujan Journal 52, n.º 3 (20 de agosto de 2019): 625–39. http://dx.doi.org/10.1007/s11139-019-00167-8.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

33

Benders, J. F. "Partitioning procedures for solving mixed-variables programming problems". Computational Management Science 2, n.º 1 (enero de 2005): 3–19. http://dx.doi.org/10.1007/s10287-004-0020-y.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

34

Ortiz-Reyes, Alma Delia, Efraín Velasco-Bautista, Arian Correa-Díaz y Gregorio Ángeles-Pérez. "Predicción de variables dasométricas mediante modelos lineales mixtos y datos de LiDAR aerotransportado". E-CUCBA 9, n.º 17 (29 de diciembre de 2021): 88–95. http://dx.doi.org/10.32870/ecucba.vi17.213.

Texto completo

Resumen

Adequate estimation of dasometric parameters such as basal area (AB), above-ground biomass (B), and timber volume (VOL) inmanaged forests is a primary requirement to quantify the role of forests in mitigation climate change mitigation. In this context,forest inventories represent the general technique to estimate dasometric parameters, however, they represent a greater consumptionof time and resources. Using data derived from remote sensors in the dasometric modeling offers huge possibilities as an auxiliarytool in forestry activities. The objective of this work was to obtain a statistical model for each forest variable of interest: basal area,above-ground biomass and timber volume in a temperate forest under management in Zacualtipán, Hidalgo, Mexico, using linearmixed models and LiDAR (Light Detection And Ranging) data as predictor variables. For this, we consider that the cluster samplingunits have spatial correlation with respect to them distributed independently in the field. Metrics derived from LiDAR data wereused to fit the models. The metrics related to height and density of the vegetation presented the highest Pearson correlations (r = 0.52- 0.86) with the different dasometric variables and these were used as predictors in the adjusted models. The results indicated thatthe random effect of the cluster and the use of variance function significantly improved the heteroscedasticity, since the spatialcorrelation of the sites was included. This work showed the potential of using linear mixed models to take advantage of thedependency between sites in the same cluster and improve traditional estimates that do not model this hierarchical relationship.

Los estilos APA, Harvard, Vancouver, ISO, etc.

35

Shevchenko, Georgiy y Lauri Viitasaari. "Adapted integral representations of random variables". International Journal of Modern Physics: Conference Series 36 (enero de 2015): 1560004. http://dx.doi.org/10.1142/s2010194515600046.

Texto completo

Resumen

We study integral representations of random variables with respect to general Hölder continuous processes and with respect to two particular cases; fractional Brownian motion and mixed fractional Brownian motion. We prove that an arbitrary random variable can be represented as an improper integral, and that the stochastic integral can have any distribution. If in addition the random variable is a final value of an adapted Hölder continuous process, then it can be represented as a proper integral. It is also shown that in the particular case of mixed fractional Brownian motion, any adapted random variable can be represented as a proper integral.

Los estilos APA, Harvard, Vancouver, ISO, etc.

36

Hummel, Manuela, Dominic Edelmann y Annette Kopp-Schneider. "Clustering of samples and variables with mixed-type data". PLOS ONE 12, n.º 11 (28 de noviembre de 2017): e0188274. http://dx.doi.org/10.1371/journal.pone.0188274.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

37

McCulloch, Charles. "Joint modelling of mixed outcome types using latent variables". Statistical Methods in Medical Research 17, n.º 1 (febrero de 2008): 53–73. http://dx.doi.org/10.1177/0962280207081240.

Texto completo

Resumen

After a brief review of the use of latent variables to accommodate the correlation among multiple outcomes of mixed types, through theoretical and numerical calculation, the consequences of such a construction are quantified. The effects of including latent variables on marginal inference in these models are contrasted with the situation for jointly normal outcomes. A simulation study illustrates the efficiency and reduction in bias gains possible in using joint models, and analysis of an example from the field of osteoarthritis illustrates potential practical differences.

Los estilos APA, Harvard, Vancouver, ISO, etc.

38

Zhou, Ling, Huazhen Lin, Xinyuan Song y Yi Li. "Selection of Latent Variables for Multiple Mixed-outcome Models". Scandinavian Journal of Statistics 41, n.º 4 (3 de abril de 2014): 1064–82. http://dx.doi.org/10.1111/sjos.12084.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

39

Zarghami, Esmeail y Hossein Bagheri. "Assessment of children's independent mobility variables by mixed method". Transportation Research Interdisciplinary Perspectives 8 (noviembre de 2020): 100239. http://dx.doi.org/10.1016/j.trip.2020.100239.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

40

Michalowicz, J. V., J. M. Nichols, F. Bucholtz y C. C. Olson. "A general Isserlis theorem for mixed-Gaussian random variables". Statistics & Probability Letters 81, n.º 8 (agosto de 2011): 1233–40. http://dx.doi.org/10.1016/j.spl.2011.03.022.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

41

Beknazaryan, Aleksandr, Xin Dang y Hailin Sang. "On mutual information estimation for mixed-pair random variables". Statistics & Probability Letters 148 (mayo de 2019): 9–16. http://dx.doi.org/10.1016/j.spl.2018.12.011.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

42

Cui, Hengjian, Kai W. Ng y Lixing Zhu. "Estimation in mixed effects model with errors in variables". Journal of Multivariate Analysis 91, n.º 1 (octubre de 2004): 53–73. http://dx.doi.org/10.1016/j.jmva.2004.04.014.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

43

Amir, H. M. y T. Hasegawa. "Shape optimization of skeleton structures using mixed-discrete variables". Structural Optimization 8, n.º 2-3 (octubre de 1994): 125–30. http://dx.doi.org/10.1007/bf01743308.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

44

Dube, Madhulika. "Mixed regression estimator under inclusion of some superfluous variables". Test 8, n.º 2 (diciembre de 1999): 411–17. http://dx.doi.org/10.1007/bf02595878.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

45

Chen, Qiu-hua, Ping-shou Zhong y Heng-jian Cui. "Empirical likelihood for mixed-effects error-in-variables model". Acta Mathematicae Applicatae Sinica, English Series 25, n.º 4 (8 de septiembre de 2009): 561–78. http://dx.doi.org/10.1007/s10255-008-8805-3.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

46

Filomeno Coelho, Rajan. "Metamodels for mixed variables based on moving least squares". Optimization and Engineering 15, n.º 2 (4 de junio de 2013): 311–29. http://dx.doi.org/10.1007/s11081-013-9216-8.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

47

Kuzovkov, E. G. "Graph model of an elastic body in mixed variables". Strength of Materials 18, n.º 6 (junio de 1986): 807–13. http://dx.doi.org/10.1007/bf01523964.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

48

Sagratella, Simone. "Algorithms for generalized potential games with mixed-integer variables". Computational Optimization and Applications 68, n.º 3 (18 de julio de 2017): 689–717. http://dx.doi.org/10.1007/s10589-017-9927-4.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

49

Fleury, Claude y Vincent Braibant. "Structural optimization: A new dual method using mixed variables". International Journal for Numerical Methods in Engineering 23, n.º 3 (marzo de 1986): 409–28. http://dx.doi.org/10.1002/nme.1620230307.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

50

Zhu, Chao Yan, Jing Yu Liu, Hong Yan Liu y Xue Zhi Wang. "Complex Genetic Algorithm for Structure Shape Optimization Design of Mixed Discrete Variables". Applied Mechanics and Materials 166-169 (mayo de 2012): 118–22. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.118.

Texto completo

Resumen

Discrete complex method is used in genetic algorithm(GA) and a mixed genetic algorithm called complex genetic algorithm(CGA) is formed. The complex method used here increases the quality of species groups, and improves the searching efficiency. The mixed genetic algorithm method is used in the shape optimization for mixed discrete variables. The integration and coding of the shape variables and the cross-section variables in genetic algorithm can not only solve the coupling problem of two kinds of variables, but also avoid the partial optimum solution resulting from the separation of the two kinds of variables. The result of the exemplification indicates that the complex genetic algorithm for structure shape optimization design of mixed discrete variables is effective.

Los estilos APA, Harvard, Vancouver, ISO, etc.

Artículos de revistas sobre el tema "Mixed variables"

Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros