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.
点击下载:
PDF (772KB)
返 回