Quality and Reliability Engineering International

A Nonparametric Test for Testing Exponentiality Against NBUCA Class of Life Distributions Based on Laplace Transform

Journal Article

In this paper, we introduce a new test statistic for testing exponentiality against new better than used in the increasing convex average class of life distributions (NBUCA) based on Laplace transform. For this proposed test, the asymptotic properties are studied, and the critical values for sample size 5(1)50 are calculated. The powers of the test are also estimated by using a simulation study for commonly used distributions in reliability. The Pittman asymptotic efficiencies of this test are calculated and compared with some old tests. Finally, the test is applied to some real data. Copyright © 2014 John Wiley & Sons, Ltd.

Related Topics

Related Publications

Related Content

Site Footer


This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.