Longitudinal Categorical Data Analysis (Springer Series in Statistics) free ebook download.

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Longitudinal Categorical Data Analysis (Springer Series in Statistics) free ebook download

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Author(s):	Brajendra C. Sutradhar

Date:	2024	Format:	epub	Language:	English	ISBN/ASIN:	B00PULZRPM
Pages:	388	OCR:		Quality:		ISBN13:
Uploader:	stirkout	Upload Date:	2/8/2024 11:07:05 PM

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B00PULZRPM epub
B00PULZRPM epub
This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more than two categories. Thus, unlike the existing books on cross-sectional categorical data analysis using log linear models, this book uses multinomial probability models both in cross-sectional and longitudinal setups. A theoretical foundation is provided for the analysis of univariate multinomial responses, by developing models systematically for the cases with no covariates as well as categorical covariates, both in cross-sectional and longitudinal setups. In the longitudinal setup, both stationary and non-stationary covariates are considered. These models have also been extended to the bivariate multinomial setup along with suitable covariates. For the inferences, the book uses the generalized quasi-likelihood as well as the exact likelihood approaches.
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Tags: Analysis Categorical Data Longitudinal Springer Statistics

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