An investigation of the power of the Wald - Wolfowitz, two sample, runs test.

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Authors
Heschl, William Charles.
Subjects
Wald-Wolfowitz runs test
two sample runs test
power
computer sampling
antithetic variables
statistical hypothesis test
Advisors
Barr, Donald R.
Date of Issue
1972-03
Date
March 1972
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
In the absence of information concerning underlying distributions of populations being sampled, it is difficult to apply parametric statistical tests without possibly violating assumptions under which these tests have been derived. As a result, parametric statistical tests may provide invalid information and result in erroneous conclusions related to samples under observation* This undesirable effect leads statisticians toward the utilization of non-parametric tests which are unconcerned with the specific form of the underlying distributions. By computer sampling, this paper investigates the power of the Wald-Wolfowitz runs test as it pertains to normal, uniform and triangular distributions. The power is found to be satisfactory when it is possible to obtain large samples for comparison.
Type
Thesis
Description
Series/Report No
Department
Operations Research and Administrative Sciences
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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