Title : ( Comparing two sampling schemes based on entropy of record statistics )
Authors: Mostafa Razmkhah , , Jafar Ahmadi ,Access to full-text not allowed by authors
Abstract
In a number of situations such as industrial quality control experiments the only observations are record-breaking data. In this paper, two sampling schemes are used to collect record data: single sample and multisample. The aim of this paper is to investigate which one of them is more efficient in the sense of Shannon information. Several general results are established and it is shownthat there is a connection between some reliability properties of the parent distribution and the considered comparison criterion. A number of examples illustrating the results are given.
Keywords
Inverse sampling · Hazard rate function · Reversed hazard rate function · Stochastic orders · Shannon information@article{paperid:1018969,
author = {Razmkhah, Mostafa and , and Ahmadi, Jafar},
title = {Comparing two sampling schemes based on entropy of record statistics},
journal = {Statistical Papers},
year = {2012},
volume = {53},
number = {1},
month = {January},
issn = {0932-5026},
pages = {95--106},
numpages = {11},
keywords = {Inverse sampling · Hazard rate function · Reversed hazard rate function ·
Stochastic orders · Shannon information},
}
%0 Journal Article
%T Comparing two sampling schemes based on entropy of record statistics
%A Razmkhah, Mostafa
%A ,
%A Ahmadi, Jafar
%J Statistical Papers
%@ 0932-5026
%D 2012