
Bayes Prediction Bound Lengths Under Dierent Censoring Criterion: A Two-Sample Approach
Author(s) -
Gyan Prakash
Publication year - 2018
Publication title -
österreichische zeitschrift für statistik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.342
H-Index - 9
ISSN - 1026-597X
DOI - 10.17713/ajs.v47i2.575
Subject(s) - censoring (clinical trials) , bayes' theorem , mathematics , statistics , sample size determination , sample (material) , computer science , bayesian probability , chemistry , chromatography
The censoring arises when exact lifetimes are known partially only and it is useful inlife testing experiments for time and cost restrictions. In literature, there are several typesof censoring plans available. In which three dierent censoring plans have addressed inpresent comparative study. The Burr Type-XII distribution considered here as the under-lying model and the comparison made on Two-Sample Bayes prediction bound lengths.The analysis of the present discussion has carried out by an example.