Journal article
Testing for and against a set of inequality constraints: The k-sample case
Journal of statistical planning and inference, Vol.139(3), pp.1012-1022
03/01/2009
DOI: 10.1016/j.jspi.2008.06.008
Abstract
In this paper we aim to generalize the existing results and provide a test for testing for and against a set of inequality constraints placed upon any k (k >= I) vectors of parameters corresponcling to k populations. The approach we take is the likelihood ratio approach. We show that the limiting distributions of the likelihood ratio test are of chi-bar square type and provide the expression of the weighting values. Examples are discussed to illustrate the theoretical results. (C) 2008 Elsevier B.V. All rights reserved.
Details
- Title: Subtitle
- Testing for and against a set of inequality constraints: The k-sample case
- Creators
- Hammou Elbarmi - City University of New YorkVicente Nunez-Anton - University of the Basque CountryDale L Zimmerman - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of statistical planning and inference, Vol.139(3), pp.1012-1022
- Publisher
- ELSEVIER SCIENCE BV
- DOI
- 10.1016/j.jspi.2008.06.008
- ISSN
- 0378-3758
- eISSN
- 1873-1171
- Number of pages
- 11
- Language
- English
- Date published
- 03/01/2009
- Academic Unit
- Statistics and Actuarial Science; Biostatistics
- Record Identifier
- 9984257615302771
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