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A Compounded Multiple Runs Distribution

 

作者: JamesE. Dunn,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1969)
卷期: Volume 64, issue 328  

页码: 1415-1423

 

ISSN:0162-1459

 

年代: 1969

 

DOI:10.1080/01621459.1969.10501066

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The standard approach to the distribution of the number of runs appearing in a sequence is to make the result conditional on the number of each class of object which occurs. Illustrations are presented from the fields of psychology and zoology where invalid conclusions will be drawn under this assumption. By allowing the composition to fall at random, a multiple runs distribution is obtained which is conditional only on the total number of objects appearing in the sequence. Moments of the distribution are indicated along with an analysis of the normal approximation. Exact critical values for the number of runs in the case of two classes of objects are given so that a nonparametric test may be performed corresponding to the traditional runs test for randomness in an observed sequence.

 

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