Title

A simple and more efficient new approach to life testing

Authors

Authors

I. A. Ahmad

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Commun. Stat.-Theory Methods

Keywords

lifetesting; increasing hazard rate; new better than used; nonparametric; testing; efficiency; asymptotic normality; MONOTONE FAILURE RATE; DISTRIBUTIONS; STATISTICS; WHETHER; Statistics & Probability

Abstract

Testing of various classes of life distributions has long been a subject of investigation. Most of these procedures, however, are not easy to grasp by non-specialized users of statistics. Additionally, not all of these procedures have good efficiencies. In the present investigation, a new and much simpler approach is presented for testing exponentiality (the common mill hypothesis in life testing) against two perennial life classes, namely the class of increasing failure rate (IFR) distributions, the class of new better than used (NBU) distributions and the class of new better than used of specified age (NBU - t(s)). This new approach is very simple and is also more efficient for some commonly used alternatives than older and more involved methodologies in the sense of Pitman's asymptotic relative efficiency.

Journal Title

Communications in Statistics-Theory and Methods

Volume

33

Issue/Number

9

Publication Date

1-1-2004

Document Type

Article; Proceedings Paper

Language

English

First Page

2199

Last Page

2215

WOS Identifier

WOS:000224742500015

ISSN

0361-0926

Share

COinS