Non-parametric tests for several sample location problem based on subsample extrema

Shanubhogue, Ashok ; Gore, A. P. (1985) Non-parametric tests for several sample location problem based on subsample extrema Communications in Statistics - Theory and Methods, 14 (5). pp. 1137-1150. ISSN 0361-0926

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Official URL: http://www.tandfonline.com/doi/abs/10.1080/0361092...

Related URL: http://dx.doi.org/10.1080/03610928508828966

Abstract

In this paper non-parametric tests for homogeneity of several populations against locationtype alternatives are proposed. For this all possible subsamples of fixed size are drawn from each sample and their maxima and minima are computed One class of tests is obtained using these subsample minima whereas other class of tests involves use of sub sample maxima. Tests belonging to these two classes have been compared with many of the presently available tests in terms of their Pitman asymptotic relative efficiency . Some of the members of these proposed classes of tests prove to robust in terms of efficiency.

Item Type:Article
Source:Copyright of this article belongs to Taylor and Francis Group.
Keywords:Tests for Homogeneity; Location Alternative; Sub-sample Maxima; Sub-sample Minima; Efficacy; Efficiency
ID Code:69961
Deposited On:14 Nov 2011 09:02
Last Modified:14 Nov 2011 09:02

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