Linear Mixed-Effects Models Using R

A Step-by-Step Approach

Andrzej Gałecki,Tomasz Burzykowski

Mathematics and Statistics (R0)

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Idioma:English
ISBN:9781461439004
Fecha de lanzamiento:27 jul 2013
Editorial:Springer New York

Edición:Springer
Formato de archivo:EPUB2
Tamaño de archivo:10.86 MB
Opciones de descarga:EPUB2 (Adobe DRM)

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Linear Mixed-Effects Models Using R

¿Por qué leer con nosotros?

Sinopsis

Acerca de este libro

Detalles del libro

Cómo leer

Lecturas relacionadas

Regression Modeling Strategies

Contingency Table Analysis

Business Statistics for Competitive Advantage with Excel 2010

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Logistic Regression Using SAS

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Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Statistical Programming with SAS/IML Software

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Nonparametric Statistics

Modeling and Stochastic Learning for Forecasting in High Dimensions

Matrix-Based Introduction to Multivariate Data Analysis

Computational Probability

Empirical Inference

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Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses

A Beginner's Guide to R

Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods

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Algebraic and Computational Aspects of Real Tensor Ranks

Understanding Statistics Using R

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Statistical Analysis for High-Dimensional Data

Categorical Data Analysis Using SAS, Third Edition

Statistical Methods for Ranking Data

Advances in Time Series Analysis and Forecasting

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Explanatory Model Analysis

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Lecturas relacionadas

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