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That is the primary book in longitudinal categorical data evaluation with parametric correlation fashions developed based mostly on dynamic relationships amongst repeated categorical responses. This book is a pure generalization of the longitudinal binary data evaluation to the multinomial data setup with greater than two classes. Thus, in contrast to the prevailing books on cross-sectional categorical data evaluation utilizing log linear fashions, this book makes use of multinomial chance fashions each in cross-sectional and longitudinal setups. A theoretical basis is offered for the evaluation of univariate multinomial responses, by creating fashions systematically for the instances with no covariates in addition to categorical covariates, each in cross-sectional and longitudinal setups. Within the longitudinal setup, each stationary and non-stationary covariates are thought-about. These fashions have additionally been prolonged to the bivariate multinomial setup together with appropriate covariates. For the inferences, the book makes use of the generalized quasi-probability in addition to the precise probability approaches.
The book is technically rigorous, and, it additionally presents illustrations of the statistical evaluation of varied actual life data involving univariate multinomial responses each in cross-sectional and longitudinal setups. This book is written primarily for the graduate college students and researchers in statistics and social sciences, amongst different utilized statistics analysis areas. Nevertheless, the remainder of the book, particularly the chapters from 1 to three, may additionally be used for a senior undergraduate course in statistics.
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