Generalized Weighted Analysis of Variance

碩士 === 靜宜大學 === 應用數學研究所 === 95 === To test the mean difference for the heterogeneitic group data, Cheng Shang-Bo developed the weighted ANOVA with an approximate F-test. According the concept of generalized P-value, a modified method is developed by this study, named the generalized weighted ANOVA....

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Main Authors: Chia-ling Hsu, 徐佳玲
Other Authors: none
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/79300669501335589207
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spelling ndltd-TW-095PU0055070022015-10-13T16:56:13Z http://ndltd.ncl.edu.tw/handle/79300669501335589207 Generalized Weighted Analysis of Variance 廣義加權變異數分析法 Chia-ling Hsu 徐佳玲 碩士 靜宜大學 應用數學研究所 95 To test the mean difference for the heterogeneitic group data, Cheng Shang-Bo developed the weighted ANOVA with an approximate F-test. According the concept of generalized P-value, a modified method is developed by this study, named the generalized weighted ANOVA. The resulted test is compared with one-way ANOVA, Kruskal-Wallis test, generalized F-test, and weighted ANOVA with simulation technique to assess its suitability. It is found that these five methods are all suitable for testing the group mean difference for the homogeneitic data, and their powers of test are closed. However, for the heterogeneitic data, one-way ANOVA and Kruskal-Wallis test are not applicable. The other three methods achieve higher values of powers, and the type I error probabilities for those two methods developed by generalized P-value are smaller . In addition, the effect of the sample size is studied for weighted ANOVA and generalized weighted ANOVA. It is found that the weighted ANOVA is not suitable for small sample, while the type I error probability is within the acceptable range for a middle or a large sample. Generalized weighted ANOVA won’t be affected by the sample size. none 陳臺芳 2007/06/ 學位論文 ; thesis 39 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 靜宜大學 === 應用數學研究所 === 95 === To test the mean difference for the heterogeneitic group data, Cheng Shang-Bo developed the weighted ANOVA with an approximate F-test. According the concept of generalized P-value, a modified method is developed by this study, named the generalized weighted ANOVA. The resulted test is compared with one-way ANOVA, Kruskal-Wallis test, generalized F-test, and weighted ANOVA with simulation technique to assess its suitability. It is found that these five methods are all suitable for testing the group mean difference for the homogeneitic data, and their powers of test are closed. However, for the heterogeneitic data, one-way ANOVA and Kruskal-Wallis test are not applicable. The other three methods achieve higher values of powers, and the type I error probabilities for those two methods developed by generalized P-value are smaller . In addition, the effect of the sample size is studied for weighted ANOVA and generalized weighted ANOVA. It is found that the weighted ANOVA is not suitable for small sample, while the type I error probability is within the acceptable range for a middle or a large sample. Generalized weighted ANOVA won’t be affected by the sample size.
author2 none
author_facet none
Chia-ling Hsu
徐佳玲
author Chia-ling Hsu
徐佳玲
spellingShingle Chia-ling Hsu
徐佳玲
Generalized Weighted Analysis of Variance
author_sort Chia-ling Hsu
title Generalized Weighted Analysis of Variance
title_short Generalized Weighted Analysis of Variance
title_full Generalized Weighted Analysis of Variance
title_fullStr Generalized Weighted Analysis of Variance
title_full_unstemmed Generalized Weighted Analysis of Variance
title_sort generalized weighted analysis of variance
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/79300669501335589207
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AT xújiālíng guǎngyìjiāquánbiànyìshùfēnxīfǎ
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