Consistency and asymptotic normality of MLE of parameter vector in a randomly censored GLM with incomplete information

DOI10.1007/BF02832116zbMath1103.62027OpenAlexW2007416862MaRDI QIDQ3415255

Lu-qin Liu, Zhihong Xiao

Publication date: 16 January 2007

Published in: Wuhan University Journal of Natural Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02832116

Mathematics Subject Classification ID

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

Related Items (2)

Maximum likelihood estimator for the proportional hazards model with incomplete information ⋮ Laws of the Iterated Logarithm and a Moderate Deviation of MLE for the Proportional Hazards Model with Incomplete Information

Cites Work

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• Estimation in a linear regression model with censored data
• Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
• Asymptotic theory of nonlinear least squares estimation
• Estimation in a random censoring model with incomplete information: exponential lifetime distribution
• Nonparametric empirical bayes procedures, asymptotic optimality And rates Of convergence For two‐tail tests In exponential family^*

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