<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Adel Ahmadi Nadi</style></author><author><style face="normal" font="default" size="100%">Bahram Sadeghpour Gildeh</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Estimating the lifetime performance index of products for two-parameter exponential distribution with the progressive first-failure censored sample</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal for Quality Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ijqr.net/journal/v10-n2/10.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">389-406</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In practice, Process capability indices such as lifetime performance index C&lt;sub&gt;L&lt;/sub&gt; indicate the relationships between the actual process performance and the manufacturing specifications, where &lt;em&gt;L&lt;/em&gt; is the lower specification limit and it is known. Progressive first-failure censoring scheme is quite useful in many practical situations where lifetime of a product is quite high and test facilities are scarce but test material is relatively cheap. This study, under the assumption of two-parameter exponential distribution and by applying data transformation constructs a uniformly minimum variance unbiased estimator (UMVUE) of C&lt;sub&gt;L&lt;/sub&gt; based on a progressive first-failure censored sample. Then the UMVUE of C&lt;sub&gt;L&lt;/sub&gt; is utilized to develop the new hypothesis testing procedure. Finally, two illustrative examples are given to assess the behavior of this test statistic for testing null hypothesis under given significance level.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue></record></records></xml>