Read Online Linear MixedEffects Models Using R A StepbyStep Approach Springer Texts in Statistics Andrzej Galecki Tomasz Burzykowski Books
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Connecting theory, software and applications, this book provides state-of-the-art descriptions of the implementation of LMMs in R, showing their application in such fields as biostatistics, public health, psychometrics, educational measurement and sociology.
Read Online Linear MixedEffects Models Using R A StepbyStep Approach Springer Texts in Statistics Andrzej Galecki Tomasz Burzykowski Books
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Tags : Linear Mixed-Effects Models Using R A Step-by-Step Approach (Springer Texts in Statistics) (9781489996671) Andrzej Galecki, Tomasz Burzykowski Books,Andrzej Galecki, Tomasz Burzykowski,Linear Mixed-Effects Models Using R A Step-by-Step Approach (Springer Texts in Statistics),Springer,1489996672,Mathematical statistics,Statistics,B,COMPUTERS / Mathematical Statistical Software,Computers/Mathematical Statistical Software,Correlated data; Linear mixed-effects models; Linear models; Mixed-effects models; R,Correlated data;Linear mixed-effects models;Linear models;Mixed-effects models;R,MATHEMATICS / Probability Statistics / General,Mathematical statistical software,Mathematics,Mathematics and Statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik,Non-Fiction,Probability Statistics - General,Probability statistics,Science/Math,Science/Mathematics,Statistical Theory and Methods,Statistics and Computing/Statistics Programs,Statistics, general,TEXT,United States,COMPUTERS / Mathematical Statistical Software,Computers/Mathematical Statistical Software,MATHEMATICS / Probability Statistics / General,Probability Statistics - General,Mathematics,Science/Mathematics,Mathematical statistical software,Probability statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Linear MixedEffects Models Using R A StepbyStep Approach Springer Texts in Statistics Andrzej Galecki Tomasz Burzykowski Books Reviews :
Linear MixedEffects Models Using R A StepbyStep Approach Springer Texts in Statistics Andrzej Galecki Tomasz Burzykowski Books Reviews
- Outstanding, the authors write in great clarity and have chosen to exemplify the different nuances of the approach on data sets that have different configurations (time-bound, clustered, hierarchical, etc.) which makes for a very thorough coverage of the topic. The way that R is used is not for the beginner, but this book is definitely worth the effort for those serious about their data science chops
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