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Introduction,e variables mainly to understand the association (equivalent to correlations) among the response variables; (2) assess the possible dependence of these response variables (marginally or jointly) on the associated covariates. These objectives are standard. See, for example, Goodman (., Chapter 1) for织物 发表于 2025-3-22 01:59:54
Book 2014te multinomial setup along with suitable covariates. For the inferences, the book uses the generalized quasi-likelihood as well as the exact likelihood approaches..The book is technically rigorous, and, it also presents illustrations of the statistical analysis of various real life data involving unCRANK 发表于 2025-3-22 07:57:59
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Springer Series in Statisticshttp://image.papertrans.cn/l/image/588605.jpgmembrane 发表于 2025-3-22 15:28:13
Overview of Regression Models for Cross-Sectional Univariate Categorical Data,Let there be . individuals and an individual responds to one of the . categories. For . = 1, ., ., let .. denote the marginal probability that the response of an individual belongs to the .th category so that ..ASTER 发表于 2025-3-22 17:11:16
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978-1-4939-5320-2Springer Science+Business Media New York 2014Obverse 发表于 2025-3-23 06:56:08
Longitudinal Categorical Data Analysis978-1-4939-2137-9Series ISSN 0172-7397 Series E-ISSN 2197-568X