Multiple categorical covariates-based multinomial dynamic response model

DOI10.1007/S13171-019-00168-1zbMath1436.62205OpenAlexW2939138809MaRDI QIDQ1987724

R. Prabhakar Rao, Brajendra Chandra Sutradhar

Publication date: 15 April 2020

Published in: Sankhyā. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13171-019-00168-1

zbMATH Keywords

asymptotic propertiesconditional generalized quasi-likelihood estimationcovariates with possible interactionsdynamic dependence parameterslag 1 transitional multinomial probabilitiesunconditional method of moments

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Point estimation (62F10)

Cites Work

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• Longitudinal categorical data analysis
• Dynamic mixed models for familial longitudinal data
• Regression theory for categorical time series
• An overview on regression models for discrete longitudinal responses
• Regression models for nonstationary categorical time series: Asymptotic estimation theory
• Estimation of regression and dynamic dependence paremeters for non-stationary multinomial time series
• GQL Versus Conditional GQL Inferences for Non-Stationary Time Series of Counts with Overdispersion
• Partial Likelihood Inference For Time Series Following Generalized Linear Models

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