Please use this identifier to cite or link to this item:
Title: Some methods for comparing heteroscedastic regression models
Authors: WU HAO
Keywords: linear models,Chow's test,heteroscedasticity,approximate degrees of freedom test,Wald statistic
Issue Date: 28-Jul-2011
Citation: WU HAO (2011-07-28). Some methods for comparing heteroscedastic regression models. ScholarBank@NUS Repository.
Abstract: The Chow's test was proposed to test the equality of coefficients of two linear regression models under the assumption of homogeneity. We generalize the Chow's test and modified Chow's test to k-sample case. We propose the Wald-type test for testing the equivalence of coefficients of k linear models under homogeneity assumption. For heteroscedastic case, we adopt the same Wald test statistic using the approximate degree of freedom method to approximate its distribution. The simulation studies and real life examples are presented to examine the performances of the proposed test statistics.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
thesis.pdf311.54 kBAdobe PDF



Page view(s)

checked on Dec 9, 2018


checked on Dec 9, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.