Title : ( Statistical inference based on k-records )
Authors: Jafar Ahmadi , Mahdi Doostparast ,
Full TextAbstract
In this paper, an extension of record models, well known as k-records, is considered. Bayesian estimation as well as prediction based on k-records are presented when the underlying distribution is assumed to have a general form. The proposed procedure is applied to the Exponential, Weibull and Pareto models in one parameter case. Also, the two-parameter Exponential distribution, when both parameters are unknown, is studied in more details. Since the ordinary record values are contained in the k-records, by putting k = 1, the results for usual records can be obtained as special case.
Keywords
Admissibility; Bayes prediction; Bayesian estimation; conjugate prior; weibull distribution
@article{paperid:1009420,
author = {Ahmadi, Jafar and Doostparast, Mahdi},
title = {Statistical inference based on k-records},
journal = {Iranian Journal of Numerical Analysis and Optimization},
year = {2008},
volume = {1},
number = {1},
month = {August},
issn = {2423-6977},
pages = {67--82},
numpages = {15},
keywords = {Admissibility; Bayes prediction; Bayesian estimation;
conjugate prior; weibull distribution},
}
%0 Journal Article
%T Statistical inference based on k-records
%A Ahmadi, Jafar
%A Doostparast, Mahdi
%J Iranian Journal of Numerical Analysis and Optimization
%@ 2423-6977
%D 2008
