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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| Format: | eBook |
| Language: | English |
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New York, NY
Springer New York
2013.
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| Series: | Springer Texts in Statistics
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| Online Access: | Click here to view the full text content |
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