Asymptotic normality in multivariate nonlinear regression and multivariate generalized linear regression models under repeated measurements with missing data

DOI10.1016/S0167-7152(00)00010-9zbMath0962.62064MaRDI QIDQ1573128

Steven T. Garren, Shyamal D. Peddada

Publication date: 14 February 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

asymptoticsmissing dataestimating equations

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02)

Related Items (1)

Kurtosis tests for multivariate normality with monotone incomplete data

Cites Work

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• Longitudinal data analysis using generalized linear models
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• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Multivariate data with missing observations
• Missing Data, Imputation, and the Bootstrap
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• Semiparametric Efficiency in Multivariate Regression Models with Missing Data

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