Modified maximum likelihood estimators for the bivariate normal based on type ii censored samples
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Publication:3473230
DOI10.1080/03610928908830106zbMath0696.62233OpenAlexW2108962208MaRDI QIDQ3473230
Moti L. Tiku, Paramjit S. Gill
Publication date: 1989
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610928908830106
Related Items (7)
Stochastic analysis of covariance when the error distribution is long-tailed symmetric ⋮ A robust method of estimation based on the MML estimators for a simple linear regression model ⋮ Multitude of bivariatetdistributions ⋮ Estimation and hypothesis testing for a nonnormal bivariate distribution with applications ⋮ Robust Estimation and Hypothesis Testing of Linear Contrasts in Analysis of Covariance with Stochastic Covariates ⋮ MMLEs are as good as M-estimators or better ⋮ Estimation and hypothesis testing for a new family of bivariate nonnormal distributions
Cites Work
- Robust statistics for testing mean vectors of multivariate distributions
- Generalization of the robust bivariate t2statistic to multivariate populations
- The Asymptotics of Maximum Likelihood and Related Estimators Based on Type II Censored Data
- Robust hotelling-type T2statistics based on the modified maximum likelihood estimators
- Modified maximum likelihood estimation for the bivariate normal
- Estimation in the Three-Parameter Lognormal Distribution
- Modified maximum likelihood and modified moment estimators for the three-parameter weibull distribution
- The asymptotic theory of concomitants of order statistics
- Statistical inference for censored bivariate normal distributions based on induced order statistics
- Bayesian insight into tiku’s robust procedures based on asymmetric censored samples
- Monte Carlo study of some simple estimators in censored normal samples
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