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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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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New York, NY :
Springer New York
2013.
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| Colección: | Springer Texts in Statistics.
Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b32910691*spi |
Tabla de Contenidos:
- Introduction
- Linear Models for Independent Observations
- Linear Fixed-effects Models for Correlated Data
- Linear Mixed-effects Models.
