Linear Mixed-Effects Models Using R

90 折

1.

Linear Mixed-Effects Models Using R

出版日：2012/11/30 作者：Andrzej Galecki; Tomasz Burzykowski 出版社：Springer Verlag 裝訂：精裝

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, p

優惠價： 9 3375

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2.

Multivariate Generalized Linear Mixed Models Using R

出版日：2011/02/22 作者：Damon M. Berridge; Robert Crouchley 出版社：CRC Press UK 裝訂：平裝

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex resear

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3.

Asymptotic Analysis of Mixed Effects Models ─ Theory, Applications, and Open Problems

出版日：2017/07/10 作者：Jiming Jiang 出版社：Productivity Press 裝訂：精裝

Mixed effects models, including linear mixed models, generalized linear mixed models, nonlinear mixed effects models, and non-parametric mixed effects models, are complex models by nature; yet, these

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4.

Mixed Effects Models for the Population Approach ― Models, Tasks, Methods and Tools

出版日：2014/07/17 作者：Marc Lavielle 出版社：Taylor & Francis 裝訂：精裝

This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation across a whole population of

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Linear Mixed Models: A Practical Guide Using Statistical Software

90 折

5.

Linear Mixed Models: A Practical Guide Using Statistical Software

出版日：2006/11/15 作者：Brady T. West; Kathleen B. Welch; Andrezej T. Galecki; Brenda W. Gillespie (CON) 出版社：Chapman & Hall 裝訂：精裝

Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to pr

優惠價： 9 3509

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90 折

6.

Linear Algebra and Linear Models

出版日：2012/01/28 作者：R. B. Bapat 出版社：Springer Verlag 裝訂：平裝

Linear Algebra and Linear Models comprises a concise and rigorous introduction to linear algebra required for statistics followed by the basic aspects of the theory of linear estimation and hypothesis

優惠價： 9 2475

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7.

Generalized Linear Mixed Models ─ Modern Concepts, Methods and Applications

出版日：2012/09/28 作者：Walter W. Stroup 出版社：Taylor & Francis 裝訂：精裝

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual fram

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8.

Advanced R Statistical Programming and Data Models ― Analysis, Machine Learning, and Visualization

出版日：2019/03/02 作者：Matt Wiley; Joshua F. Wiley 出版社：Apress 裝訂：平裝

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapt

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9.

Repeated Measures Design With Generalized Linear Mixed Models for Randomized Controlled Trials

出版日：2017/02/16 作者：Tango 出版社：Productivity Press 裝訂：精裝

This book provides the application of generalized linear mixed-effects models and its related models in the statistical design and analysis of repeated measures adopted in randomized controlled trials

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90 折

10.

Linear Mixed Models ─ A Practical Guide Using Statistical Software

出版日：2014/07/15 作者：Brady T. West 出版社：Taylor & Francis 裝訂：精裝

This second edition updates the case studies using the latest versions of the software procedures, covers additional topics in the application of linear mixed models, and provides up-to-date informati

優惠價： 9 3392

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11.

Mixed-Effects Models in s and S-Plus

出版日：2000/05/01 作者：Jose C. Pinheiro; Douglas M. Bates 出版社：Springer Verlag 裝訂：精裝

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. The authors p

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90 折

12.

Richly Parameterized Linear Models

出版日：2020/09/30 作者：James S. Hodges 出版社：Chapman & Hall 裝訂：平裝

Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a syste

優惠價： 9 3401

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13.

Richly Parameterized Linear Models ─ Additive, Time Series, and Spatial Models Using Random Effects

出版日：2013/11/04 作者：James S. Hodges 出版社：Taylor & Francis 裝訂：精裝

"This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framewo

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14.

Mixed Effects Models for Complex Data

出版日：2009/11/12 作者：Lang Wu 出版社：Chapman & Hall 裝訂：精裝

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for

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Extending the Linear Model With R ─ Generalized Linear, Mixed Effects and Nonparametric Regression Models

90 折

15.

Extending the Linear Model With R ─ Generalized Linear, Mixed Effects and Nonparametric Regression Models

出版日：2006/01/30 作者：Julian James Faraway 出版社：CRC Press UK 裝訂：精裝

Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined reg

優惠價： 9 2690

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Analysis Of Generalized Linear Mixed Models In The Agricultural And Natural Resources Sciences

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16.

Analysis Of Generalized Linear Mixed Models In The Agricultural And Natural Resources Sciences

出版日：2020/04/23 作者：Gbur 出版社：John Wiley & Sons Inc 裝訂：精裝

The goal of this text for students and professionals is to help readers who have worked with linear mixed models make the transition to generalized linear mixed models. Benefits and challenges of gene

優惠價： 9 3418

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Bayesian Data Analysis in Ecology Using Linear Models With R, Bugs, and Stan ― Including Comparisons to Frequentist Statistics

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17.

Bayesian Data Analysis in Ecology Using Linear Models With R, Bugs, and Stan ― Including Comparisons to Frequentist Statistics

出版日：2015/04/15 作者：Franzi Korner-nievergelt; Stefanie Von Felten; Tobias Roth; Bettina Almasi; J撱函e Gu撟災t 出版社：Academic Pr 裝訂：平裝

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STANintroduces the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in

優惠價： 1 3998

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18.

Generalized, Linear, And Mixed Models, Second Edition

出版日：2008/06/12 作者：Mcculloch 出版社：John Wiley & Sons Inc 裝訂：平裝

An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essen

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19.

Interaction Effects in Linear and Generalized Linear Models:Examples and Applications Using Stata

出版日：2018/10/16 作者：Kaufman 出版社：SAGE Publications UK 裝訂：精裝

Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approac

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20.

An R Companion to Linear Statistical Models

出版日：2011/10/20 作者：Christopher Hay-Jahans 出版社：Chapman & Hall 裝訂：精裝

"Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: Those who are familiar with the theory and applications of linear statistical models and wish

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21.

Linear Mixed Models for Longitudinal Data

出版日：2009/04/30 作者：Geert Verbeke; Geert Molenberghs 出版社：Springer Verlag 裝訂：平裝

Presents a comprehensive treatment of linear mixed models for continuous longitudinal data. This book puts major emphasis on exploratory data analysis for all aspects of the model, such as the margina

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22.

Linear Mixed Models for Longitudinal Data

出版日：2000/06/01 作者：Geert Verbeke; Geert Molenberghs; P. Bickel (EDT); P. Diggle (EDT); S. Fienberg (EDT); K. Krickeberg (EDT); I. Olkin (EDT) 出版社：Springer Verlag 裝訂：精裝

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all a

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23.

Statistical Tests For Mixed Linear Models

出版日：1998/01/15 作者：Khuri 出版社：John Wiley & Sons Inc 裝訂：精裝

An advanced discussion of linear models with mixed or random effects.In recent years a breakthrough has occurred in our ability to draw inferences from exact and optimum tests of variance component mo

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紅利兌換

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24.

科瑞‧R.塔博的創意翻轉繪本（共三冊）

出版日：2024/11/05 作者：科瑞.R. 塔博-著; 柯倩華-譯; 科瑞.R. 塔博-繪 出版社：三民書局 裝訂：精裝

美國凱迪克大獎、Openbook年度童書得主科瑞．R. 塔博震撼新作跟著翠鳥翠翠、小狗賽門和鯰魚小漁，探索橫跨陸海空的生態小宇宙！~~~內容簡介~~~《翠翠掉下去了！》有一天，媽媽不在家，翠鳥翠翠決定開始學飛！即使很害怕，翠翠可不讓恐懼阻撓她學飛的決心。沒想到，她……掉下去了！翠翠能夠扭轉墜落之勢，成功振翅高飛嗎？《更棒的骨頭》小狗賽門叼著一根骨頭來到池塘邊，遇到了一隻長得一模一樣的狗狗。只是他嘴裡叼著的骨頭，比自己的「更棒」！賽門用盡各種方法，企圖想跟水裡的狗交換骨頭：大眼瞪小眼比賽、追尾巴比賽…… 軟硬兼施卻都換不來那根「更棒的」骨頭。究竟小狗賽門怎樣才能交換成功呢？《小漁顛倒游》小漁是一隻快樂的鯰魚，生活在美好的水底世界。水上有各樣的水草搖曳舞動，水下有湛藍的天空和蟲蟲大餐。可是一場交談，令小漁發現了一個天大的祕密……她竟然顛倒了？~~~套書特色~~~►超人氣的互動翻頁設計，身歷其境主角們的酸甜苦辣◄ 來吧來吧！展開雙翅跟著翠翠學習飛翔，與狗狗賽門比賽大眼瞪小眼，也和小漁一起體會180度的翻轉泳姿。科瑞．R. 塔博利用實體書本的開頁，結合天馬行空的轉書創意，打造前所未有的閱讀體驗！►清新自然的風格，刻畫出寓意十足的陸海空小宇宙◄ 作者透過童趣的蠟筆和柔美的水彩筆觸，不只將角色們表現得活靈活現，還期許孩子擁有追夢的勇氣，懂得分享且有同理心，並在面對外界質疑時保有自身的獨特性。

優惠價： 79 845

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25.

Generalized Additive Models ─ An Introduction With R

出版日：2016/09/05 作者：Wood; Simon 出版社：Productivity Press 裝訂：精裝

The second edition of this popular book provides a thorough grounding in linear, generalized linear and mixed models before providing a framework for GAMs. Although the material is technical, the auth

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26.

Linear Models with R

出版日：2014/03/26 作者：Julian J. Faraway 出版社：Taylor & Francis 裝訂：精裝

Linear models are widely used in applications in physical science, engineering, social science and business. The world of R has expanded in the ten years that have passed since this text’s first editi

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27.

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

出版日：2013/09/04 作者：Michael Smithson; Edgar C. Merkle 出版社：Taylor & Francis 裝訂：精裝

"Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limite

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28.

Fixed Effects Regression Models

出版日：2009/04/22 作者：Paul D. Allison 出版社：SAGE Publications UK 裝訂：平裝

This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and struc

優惠價： 1 2436

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LEGO® Classic: 5-Minute Builds (with clear LEGO pieces, fold-out play scene and over 100 activities and challenges)

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29.

LEGO® Classic: 5-Minute Builds (with clear LEGO pieces, fold-out play scene and over 100 activities and challenges)

出版日：2025/10/09 作者：LEGO®; Buster Books 出版社：Michael O'Mara Books Ltd 裝訂：平裝

Build incredible LEGO® models unlike any you’ve ever seen before, with the amazing transparent pieces included in this fun set. Shine lights through the LEGO elements to create colourful reflections, crystal-like effects and fun new ways to play. Use the pieces to build animals, monsters, magical creatures and loads more, before shining lights through them to see the full effect.Create an enchanting underwater world, funny faces, spooky ghosts, frozen treats, fairy-tale friends and so much more. Included in the book inside are more than 100 amazing ideas for LEGO builds, activities and challenges. Each of the play ideas featured in the book can be accomplished using the 46 LEGO pieces included (not all models can be built at the same time).LEGO, the LEGO logo and the Brick and Knob configurations are trademarks of the LEGO Group. ©2025 The LEGO Group.

優惠價： 46 499

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JAVASCRIPT, A BEGINNER'S GUIDE, THIRD EDITION

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30.

JAVASCRIPT, A BEGINNER'S GUIDE, THIRD EDITION

出版日：2009/09/11 作者：JOHN POLLOCK 出版社：Mcgraw-Hill; Inc. 裝訂：平裝

Essential Skills--Made Easy!Create dynamic Web pages complete with special effects using today's leading Web development language. JavaScript: A Beginner's Guide, Third Edition gives you step-by-step

優惠價： 66 1053

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31.

Bayesian Models for Astrophysical Data ─ Using R, JAGS, Python and Stan

出版日：2017/06/30 作者：Joseph M. Hilbe 出版社：Cambridge Univ Pr 裝訂：精裝

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally.

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32.

Generalized Linear Models With Random Effects ─ Unified Analysis Via H-likelihood

出版日：2016/12/19 作者：Youngjo Lee; John A. Nelder; Yudi Pawitan 出版社：Productivity Press 裝訂：精裝

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages a

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Linear and Mixed Integer Programming for Portfolio Optimization

90 折

33.

Linear and Mixed Integer Programming for Portfolio Optimization

出版日：2015/06/29 作者：Renata Mansini; Wlodzimierz Ogryczak; Grazia Speranza 出版社：Springer Verlag 裝訂：精裝

This book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer l

優惠價： 9 2835

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34.

Applied Econometrics with R

出版日：2008/08/28 作者：Christian Kleiber; Achim Zeileis 出版社：Springer Verlag 裝訂：平裝

This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear re

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35.

Linear and Generalized Linear Mixed Models and Their Applications

出版日：2007/02/16 作者：Jiming Jiang 出版社：Springer Verlag 裝訂：精裝

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and it presents an up-to-date account of theory and methods in analysis of these mo

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

75 折

36.

Formal Models of Domestic Politics

出版日：2021/09/30 作者：Scott Gehlbach 出版社：Cambridge Univ Pr 裝訂：平裝

Formal Models of Domestic Politics offers a unified and accessible approach to canonical and important new models of politics. Intended for political science and economics students who have already taken a course in game theory, this new edition retains the widely appreciated pedagogic approach of the first edition. Coverage has been expanded to include a new chapter on nondemocracy; new material on valance and issue ownership, dynamic veto and legislative bargaining, delegation to leaders by imperfectly informed politicians, and voter competence; and numerous additional exercises. Political economists, comparativists, and Americanists will all find models in the text central to their research interests. This leading graduate textbook assumes no mathematical knowledge beyond basic calculus, with an emphasis placed on clarity of presentation. Political scientists will appreciate the simplification of economic environments to focus on the political logic of models; economists will discov

優惠價： 75 1394

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37.

Generalized Linear and Nonlinear Models for Correlated Data—Theory and Applications Using SAS

出版日：2012/09/03 作者：Edward Vonesh 出版社：Sas Inst 裝訂：平裝

Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasi

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38.

Univariate and Multivariate General Linear Models ─ Theory and Applications With Sas

出版日：2006/10/05 作者：Kevin Kim; Neil H. Timm 出版社：Taylor & Francis 裝訂：精裝

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses

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39.

Generalized Latent Variable Modeling ─ Multilevel, Longitudinal, and Structural Equation Models

出版日：2004/05/01 作者：Anders Skrondal; S. Rabe-Hesketh 出版社：CRC Press UK 裝訂：精裝

This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mix

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Non-Linear Time Series Models in Empirical Finance

90 折

40.

Non-Linear Time Series Models in Empirical Finance

出版日：2000/07/27 作者：Philip Hans Franses 出版社：Cambridge Univ Pr 裝訂：平裝

Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and forecasting financial asset returns and their associated volatility. The models are analysed in detail and are not treated as 'black boxes'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.

優惠價： 9 2690

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Linear Mixed-Effects Models Using R