For advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II and courses in Generalized Linear Models, Longitudinal Data Analysis, Correlated Data, Multilevel Models. Material on R at the end of each cha...Lasīt vairāk
The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. There is a focus on new tools for visualization of results and interpretation. Ne...Lasīt vairāk
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or employees in firms. Longitudinal data are also cl...Lasīt vairāk
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find...Lasīt vairāk
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find...Lasīt vairāk
Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been develo...Lasīt vairāk
This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, w...Lasīt vairāk
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 of simple and complex models, both univariate and...Lasīt vairāk
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 approach to interpreting interaction eff...Lasīt vairāk
Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) are very popular statistical tools, but, they have been shown to break down for large complex datasets, which are increasingly prevalent. The authors of this book have developed...Lasīt vairāk
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Linear models describe a quantitative response in terms of linear combinations of predictors, and R--open-source, powerful, and de facto standard language for statistical computation--provides many tools to utilize them. In this second edition of the...Lasīt vairāk
(Izdošanas datums: 03-Jan-2014, Paperback / softback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9780471221746)
A tutorial approach and many examples lead readers through methods related to analysis of variance with fixed and random effects and show how to choose the most appropriate SAS procedures for most experiment designs, such as completely random, random...Lasīt vairāk
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This book examines Statas treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are mixed because they allow fixed and random effects, and they are generalized because they are appropriate...Lasīt vairāk
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Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts. The first three parts in volume II cover models for categorical respo...Lasīt vairāk
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Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. The first part provides a review of the methods of linear regression. The second part provides an in-depth coverage of...Lasīt vairāk
