M-tests for multivariate regression model

Yunus, Rossita M. and Khan, Shahjahan (2011) M-tests for multivariate regression model. Journal of Nonparametric Statistics, 23 (1). pp. 201-218. ISSN 1048-5252

Metadata

HTML CitationEndNoteDublin CoreReference Manager

Full text not available from this archive.

Official URL: http://dx.doi.org/10.1080/10485252.2010.503896

Identification Number or DOI: doi: 10.1080/10485252.2010.503896

Abstract

The M-estimation method is used to define the unrestricted test, restricted test and pre-test test (PTT) for testing the intercept vector of a multivariate simple regression model when it is a priori suspected that the slope vector has some specified values. The asymptotic distribution of the test statistics and the asymptotic power functions of the proposed M-tests are derived. Performances of the M-tests are compared both analytically and graphically. The analytical results as well as an illustrative simulation study to compare the size and power of the M-tests reveal a reasonable dominance of the PTT over the other two tests.

Item Type:Article (Commonwealth Reporting Category C)
Additional Information:Permanent restricted access to published version due to publisher copyright policy.
Uncontrolled Keywords:pre-test test; non-sample prior information; asymptotic distribution; asymptotic power; M-estimation; bivariate non-central chi-square distribution
Fields of Research (FOR2008):01 Mathematical Sciences > 0104 Statistics > 010406 Stochastic Analysis and Modelling
01 Mathematical Sciences > 0104 Statistics > 010405 Statistical Theory
01 Mathematical Sciences > 0102 Applied Mathematics > 010201 Approximation Theory and Asymptotic Methods
Subjects:UNSPECIFIED
Socio-Economic Objective (SEO2008):E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences
ID Code:18532
Deposited By:
Deposited On:21 Jun 2011 16:54
Last Modified:08 May 2012 10:14

Archive Staff Only: edit this record