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Data analysis using hierarchical generalized linear models with R /
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 fie...
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| Altri autori: | , |
| Natura: | Printed Book |
| Pubblicazione: |
CRC Press
Boca Raton
2017
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| Soggetti: |
Kannur University
| Collocazione: |
519.5 LEE/D |
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| Copia | Status in tempo reale non disponibile |