Two-Stage Range Test of the Equality of Means under Heteroscedasticity

碩士 === 淡江大學 === 數學學系 === 85 === The procedures of testing the equality of normal means inthe conventional analysis of variance (ANOVA) are heavilybased on the assumption of the equality of the errorvariances. Studies have shown that the F-t...

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Main Authors: Chang, Huey-Fang, 張惠芳
Other Authors: Shun-Yi Chen
Format: Others
Language:zh-TW
Published: 1997
Online Access:http://ndltd.ncl.edu.tw/handle/62860434052194345408
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spelling ndltd-TW-085TKU004790072016-07-01T04:15:57Z http://ndltd.ncl.edu.tw/handle/62860434052194345408 Two-Stage Range Test of the Equality of Means under Heteroscedasticity 不等變異數的二階段全距檢定 Chang, Huey-Fang 張惠芳 碩士 淡江大學 數學學系 85 The procedures of testing the equality of normal means inthe conventional analysis of variance (ANOVA) are heavilybased on the assumption of the equality of the errorvariances. Studies have shown that the F-test is not robustunder the violation of equal error variances. When thevariances are unknown and unequal, Bishop and Dudewicz(1978)developed a design-oriented two-stage procedure for ANOVA,which gives exact tests with power and level independent ofthe unknown variances. In this paper we propose a two-stagerange test procedure with tables for implementation, to testthe null hypotheses in ANOVA models under heteroscedasticity.Simulation results indicste that the power of the new rangetest procedure is as good as the two-stage ANOVA method. Anumerical example is also given. Shun-Yi Chen 陳順益 1997 學位論文 ; thesis 47 zh-TW
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language zh-TW
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description 碩士 === 淡江大學 === 數學學系 === 85 === The procedures of testing the equality of normal means inthe conventional analysis of variance (ANOVA) are heavilybased on the assumption of the equality of the errorvariances. Studies have shown that the F-test is not robustunder the violation of equal error variances. When thevariances are unknown and unequal, Bishop and Dudewicz(1978)developed a design-oriented two-stage procedure for ANOVA,which gives exact tests with power and level independent ofthe unknown variances. In this paper we propose a two-stagerange test procedure with tables for implementation, to testthe null hypotheses in ANOVA models under heteroscedasticity.Simulation results indicste that the power of the new rangetest procedure is as good as the two-stage ANOVA method. Anumerical example is also given.
author2 Shun-Yi Chen
author_facet Shun-Yi Chen
Chang, Huey-Fang
張惠芳
author Chang, Huey-Fang
張惠芳
spellingShingle Chang, Huey-Fang
張惠芳
Two-Stage Range Test of the Equality of Means under Heteroscedasticity
author_sort Chang, Huey-Fang
title Two-Stage Range Test of the Equality of Means under Heteroscedasticity
title_short Two-Stage Range Test of the Equality of Means under Heteroscedasticity
title_full Two-Stage Range Test of the Equality of Means under Heteroscedasticity
title_fullStr Two-Stage Range Test of the Equality of Means under Heteroscedasticity
title_full_unstemmed Two-Stage Range Test of the Equality of Means under Heteroscedasticity
title_sort two-stage range test of the equality of means under heteroscedasticity
publishDate 1997
url http://ndltd.ncl.edu.tw/handle/62860434052194345408
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