A Closed Sequential Test for Randomness

Article

Choi, S.C.   (1971, ASQC)   Washington University, St. Louis, MO

Journal of Quality Technology    Vol. 3    No. 3
QICID: 5082    July 1971    pp. 112-114
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Article Abstract

This article suggests a simple closed sequential test of the hypothesis that a sequence of observations is independent, with the alternative that the observations are correlated as in a Markov chain in which each observation is dependent on the preceding observation. The procedure is based on the relation between the correlation parameter of a two-state Markov chain and a run count random variable, and is intended for applications in quality technology. The test is facilitated by the existing closed sequentila test designed for the binomial parameter.

Keywords

Correlation,Random variables,Sequential methods


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