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...
Main Authors: | , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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Series: | Springer Texts in Statistics,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
Call Number: |
330.01 BAU |
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Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
Call Number: |
330.01 BAU |
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Copy 2 | Available |
Copy 3 | Available |