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Books on the topic 'Mixed model method'

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Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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1

Miura, Hiroaki. Development of a mixed finite-difference/finite-volume scheme for the shallow water model on a spherical geodesic grid. [Tokyo, Japan]: Center for Climate System Research, University of Tokyo, 2004.

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2

Selection index and introduction to mixed model methods. Boca Raton: CRC Press, 1993.

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3

Geert, Molenberghs, ed. Linear mixed models for longitudinal data. New York: Springer, 2000.

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4

Geert, Molenberghs, ed. Linear mixed models for longitudinal data. New York: Springer, 2009.

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5

Wu, Lang. Mixed effects models for complex data. Boca Raton: Taylor & Francis, 2009.

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6

Wu, Lang. Mixed effects models for complex data. Boca Raton: Taylor & Francis, 2009.

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7

Robert, Crouchley, ed. Multivariate generalized linear mixed models using R. Boca Raton, FL: CRC Press, 2011.

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8

Kirches, Christian. Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control. Wiesbaden: Vieweg+Teubner Verlag, 2011. http://dx.doi.org/10.1007/978-3-8348-8202-8.

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9

Truty, Andrzej. On certain classes of mixed and stabilized mixed finite element formulations for single and two-phase geomaterials. Kraków: Politechnika Krakowska, 2002.

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10

Kim, Seonghoon. IRT scale linking methods for mixed-format tests. Iowa City, Iowa: ACT, Inc., 2004.

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11

Noor, Ahmed Khairy. Mixed finite element models for free vibrations of thin-walled beams. Hampton, Va: Langley Research Center, 1989.

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12

F, Zuur Alain, ed. Mixed effects models and extensions in ecology with R. New York, NY: Springer, 2009.

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13

Rekiek, Brahim. Assembly line design: The balancing of mixed-model hybrid assembly lines with genetic algorithms. London: Springer, 2006.

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14

1964-, Zhang Jin-Ting, ed. Nonparametric regression methods for longitudinal data analysis: Mixed-effects modeling approaches. New York: Wiley-Interscience, 2006.

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15

Tomasz, Burzykowski, and SpringerLink (Online service), eds. Linear Mixed-Effects Models Using R: A Step-by-Step Approach. New York, NY: Springer New York, 2013.

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16

Gbur, Edward. Analysis of generalized linear mixed models in the agricultural and natural resources sciences. Madison, WI: American Society of Agronomy, 2012.

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17

Mavriplis, Dimitri. Adaptive meshing techniques for viscous flow calculations on mixed element unstructured meshes. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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18

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Limited, John, 2014.

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19

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2014.

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20

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2006.

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21

Molenberghs, Geert, and Geert Verbeke. Linear Mixed Models for Longitudinal Data. Springer, 2001.

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22

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley, 2015.

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23

Jiang, Jiming. Asymptotic Analysis of Mixed Effects Models. Taylor & Francis Group, 2021.

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24

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2014.

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25

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2014.

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26

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2006.

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27

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2007.

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28

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. John Wiley & Sons, 1999.

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29

Funatogawa, Takashi, and Ikuko Funatogawa. Longitudinal Data Analysis: Autoregressive Linear Mixed Effects Models. Springer London, Limited, 2017.

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30

Funatogawa, Ikuko. Longitudinal Data Analysis: Autoregressive Linear Mixed Effects Models. Springer, 2019.

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31

Crouchley, Robert, and Damon Mark Berridge. Multivariate Generalized Linear Mixed Models Using R. Taylor & Francis Group, 2011.

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32

Crouchley, Robert, and Damon M. Berridge. Multivariate Generalized Linear Mixed Models Using R. Taylor & Francis Group, 2011.

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33

Crouchley, Robert, and Damon Mark Berridge. Multivariate Generalized Linear Mixed Models Using R. Taylor & Francis Group, 2011.

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34

Applied Mixed Models in Medicine (Statistics in Practice). 2nd ed. Wiley, 2006.

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35

Kirches, Christian. Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control. Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 2011.

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36

Stroup, Walter W. Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. Taylor & Francis Group, 2016.

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37

Stroup, Walter W. Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. Taylor & Francis Group, 2016.

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38

Maravelias, Christos T. Chemical Production Scheduling: Mixed-Integer Programming Models and Methods. University of Cambridge ESOL Examinations, 2021.

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39

Generalized Linear Mixed Models Modern Concepts Methods And Applications. CRC Press, 2012.

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40

Maravelias, Christos T. Chemical Production Scheduling: Mixed-Integer Programming Models and Methods. Cambridge University Press, 2021.

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41

Stroup, Walter W. Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. Taylor & Francis Group, 2016.

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42

Ignatyev, Alexander V. DEVELOPMENT OF THE FINITE ELEMENT METHOD IN THE FORM OF THE CLASSICAL MIXED BUILDING MECHANICS METHOD. Thesis for the degree of Doctor of Technical Sciences. Volgograd State Technical University, 2023. http://dx.doi.org/10.12731/dissertation-ignatievav.

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Abstract:

The dissertation states: 1. The main provisions of the theory of the finite element method in the form of a classical mixed method. 2. Methods for obtaining physical and mathematical models of finite elements with mixed unknowns in the main system. 3. Construction of resolving equations based on the obtained mathematical models of finite elements and development of algorithms for their solution. 4. Algorithms for solving problematic problems: accounting for FE displacements as a rigid whole, accounting for rigid inclusions and holes. 5. Features of physical and mathematical models of problems of dynamics and stability of structures and the calculation algorithms that implement them. 6. Physical and mathematical models of reduction methods for lowering the order of large systems of frequency resolving equations. 7. Physical and mathematical models and algorithms for solving geometrically nonlinear problems and problems of calculating structurally nonlinear systems with one-way connections.

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43

Lavielle, Marc. Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools. Taylor & Francis Group, 2014.

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44

Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools. Taylor & Francis Group, 2014.

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45

Lavielle, Marc. Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools. Taylor & Francis Group, 2014.

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46

Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems. Taylor & Francis Group, 2017.

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47

Jiang, Jiming. Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems. Taylor & Francis Group, 2017.

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48

Jiang, Jiming. Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems. Taylor & Francis Group, 2017.

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49

Jiang, Jiming. Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems. Taylor & Francis Group, 2017.

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50

Jiang, Jiming. Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems. Taylor & Francis Group, 2017.

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