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...
Saved in:
| Main Author: | |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2013.
|
| Series: | Springer Texts in Statistics
|
| Subjects: | |
| Online Access: | Click here to view the full text content |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
System Under Maintenance
Our Library Management System is currently under maintenance.
Holdings and item availability information is currently unavailable. Please accept our apologies for any inconvenience this may cause and contact us for further assistance: