"This is a first-class book dealing with one of the most important areas of current research in applied statisticsβ¦the methods described are widely applicableβ¦the standard of exposition is extremely high." --Short Book Reviews from the International Statistical Institute "The new chapters (10-14
Hierarchical Linear Models: Applications and Data Analysis Methods
β Scribed by Stephen W. Raudenbush, Anthony S. Bryk
- Publisher
- SAGE Publications
- Year
- 2002
- Tongue
- English
- Leaves
- 510
- Series
- Advanced Quantitative Techniques in the Social Sciences 1
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
ΠΡΠΈΠΊΠ»Π°Π΄Π½Π°Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ°
π SIMILAR VOLUMES
<P>Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the
<P>Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the
<P>Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the