Point and Interval Estimation for Bivariate Normal Distribution Based on Progressively Type-II Censored Data

DOI10.1081/STA-200060717zbMath1067.62023OpenAlexW2073356306MaRDI QIDQ5460666

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Publication date: 18 July 2005

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-200060717

zbMATH Keywords

maximum likelihood estimatesFisher information matrixprogressive type-II censoringconcomitants of order statisticsprobability coveragesasymptotic variance-covariancesample-based Monte Carlo percentage points

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric tolerance and confidence regions (62F25) Point estimation (62F10) Monte Carlo methods (65C05) Statistical tables (62Q05) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Progressive censoring methodology: an appraisal (with comments and rejoinder) ⋮ Inference on \(P(X<Y)\) for bivariate normal distribution based on ranked set sample ⋮ Bayesian and non-Bayesian estimation for the parameter of bivariate generalized Rayleigh distribution based on Clayton copula under progressive type-II censoring with random removal ⋮ Inference for the Type II generalized logistic distribution under progressive Type II censoring

Cites Work

• Convergence of sample paths of normalized sums of induced order statistics
• General distribution theory of the concomitants of order statistics
• An efficient computational method for moments of order statistics under progressive censoring.
• The asymptotic theory of concomitants of order statistics
• Statistical inference for censored bivariate normal distributions based on induced order statistics
• Interval Estimation of Parameters of Life from Progressively Censored Data
• Order Statistics
• Best Linear Invariant Estimation for Weibull Parameters under Progressive Censoring
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