By Topic

A Test to Identify the Uniform Distribution, with Applications to Probability Plotting and Other Distributions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Smiley W. Cheng ; Professor; Department of Statistics; University of Manitoba; Winnipeg, Manitoba, R3T 2N2 CANADA. ; F. A. Spiring

A test and its empirical distribution (n > 4) has been developed to examine whether a set of sample results arise from a population which possesses a uniform distribution. The test statistic is easy to calculate and lends itself nicely to probability-plot analyses. The test statistic applies the concept of the Shapiro-Wilk W-test to the uniform distribution. The result allows one to examine distributional assumptions regarding any continuous distribution and thus provides practitioners, currently using traditional Chi-Square techniques, with a less subjective testing procedure.

Published in:

IEEE Transactions on Reliability  (Volume:R-36 ,  Issue: 1 )