Accession Number : ADA111858

Title :   Weak Convergence of a Bayesian Nonparametric Estimator of the Survival Function under Progressive Censoring,

Corporate Author : MICHIGAN STATE UNIV EAST LANSING DEPT OF STATISTICS AND PROBABILITY

Personal Author(s) : Gardiner,Joseph C ; Susarla,V

PDF Url : ADA111858

Report Date : Feb 1982

Pagination or Media Count : 15

Abstract : A nonparametric Bayesian estimator F (circumflex) of the survival function F constructed from time-sequential progressively censored observations is found to subsume several estimators of F utilized in practice. Weak convergence of F (circumflex) is developed and the limiting process is found to coincide with that obtained when complete response profiles of the sample are available, leading to suitable application of F (circumflex) with consequent reductions in costs and time and without loss of asymptotic accuracy. (Author)

Descriptors :   *Nonparametric statistics, *Bayes theorem, Weak convergence, Censorship, Estimates, Random variables

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE