Tests for randomness of observations that involve two factors
作者:
Wen-Tao Huang,
An-Bang Wang,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1984)
卷期:
Volume 13,
issue 3
页码: 325-336
ISSN:0361-0918
年代: 1984
DOI:10.1080/03610918408812379
出版商: Marcel Dekker, Inc.
关键词: Tests for randomness;matrix type of observations;run of a matrix
数据来源: Taylor
摘要:
Tests for randomness of observations that involve one factor have been considered by many authors among them are Mosteller [4], Bateman [21], Barton and David [1] and Shaughnessy [7]. However, on many occasions, data involve two different factors such as time and location, temperature and pressure, or levels of doses and responses of patients and so on. In this paper, we consider tests for randomness of observations that involve two factors for which data are given in a matrix form. Some new definitions of runs of a matrix of data are defined and discussed. A special kind of run is proposed for the test for randomness. Distributions and properties of this run are studied. Some critical regions are tabulated.
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