An investigation of the power of the Wald - Wolfowitz, two sample, runs test.
Heschl, William Charles.
Barr, Donald R.
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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.
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