Bayesian insight into tiku’s robust procedures based on asymmetric censored samples

DOI10.1080/00949658608810887zbMath0616.62046OpenAlexW2003984562MaRDI QIDQ4725505

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Publication date: 1986

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949658608810887

zbMATH Keywords

normalityapproximationposterior distributionasymmetric censored samplesrobust Student t-type procedureTiku's modified maximum likelihood estimator

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (11)

NONNORMAL REGRESSION. I. SKEW DISTRIBUTIONS ⋮ Modified maximum likelihood estimators for the bivariate normal based on type ii censored samples ⋮ A robust procedure for testing the equality of mean vectors of two bivariate populations with unequal covariance matrices ⋮ Bayesian approach to robust procedures based on censored samples ⋮ Robust hotelling-type T²statistics based on the modified maximum likelihood estimators ⋮ Bayesian approach to robust comparison of two means based on asymmetric type-II censored samples ⋮ Bayesian Inference Based on Robust Priors and MML Estimators: Part I, Symmetric Location-Scale Distributions ⋮ Bayesian Insight into a Robust Test for Linear Contrast Based on Asymmetric Censored Samples ⋮ Bayesian Insight Into a Robust Two-sample t-Test Based on Asymmetric Censored Samples ⋮ Modified maximum likelihood estimation for the bivariate normal ⋮ A robust method of estimation based on the MML estimators for a simple linear regression model

Cites Work

• Robustness of MML estimators based on censored samples and robust test statistics
• ON THE SOLUTION OF ESTIMATING EQUATIONS FOR TRUNCATED AND CENSORED SAMPLES FROM NORMAL POPULATIONS
• Testing Linear Contrasts of Means in Experimental Design Without Assuming Normality and Homogeneity of Variances
• Robust statistics for testing equality of means or variances
• Multiparameter Problems From a Bayesian Point of View
• Monte Carlo study of some simple estimators in censored normal samples
• ESTIMATION OF THE MEAN AND STANDARD DEVIATION OF A NORMAL POPULATION FROM A CENSORED SAMPLE
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