Linear Mixed-Effects Models Using R : A Step-by-Step Approach /
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, public health, psychometrics, educational measurement, and sociology. This book aims to support a wid...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Springer,
2013.
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| Series: | Springer Texts in Statistics.
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| Subjects: | |
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3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |