The Locally Most Powerful Unbiased Test for the location parameter of von Mises Distribution
碩士 === 國立中興大學 === 應用數學研究所 === 82 === The research of directional data has attracted more and more attention of statisticans in the recent years. We will handle the problem about the two-dimensional data throughout this context and refer suc...
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ndltd-TW-082NCHU05070152015-10-13T15:33:32Z http://ndltd.ncl.edu.tw/handle/68815347836793196315 The Locally Most Powerful Unbiased Test for the location parameter of von Mises Distribution 翁敏士分布位置參數之區域最有效不偏測試 Pei-Sheng Lin 林培生 碩士 國立中興大學 應用數學研究所 82 The research of directional data has attracted more and more attention of statisticans in the recent years. We will handle the problem about the two-dimensional data throughout this context and refer such data as the circular data. Having a lot of important characterization as the normal distribution does in the linear statistics, the von Mises distribution has a great importance in the circular data. It makes people to devote a lot of eff- orts in the dealing with the investigation of this distribution. For the problem of testing whether a given sample of von Mises dirtribution has zero direction, when the concentration parameter is fixed, Madia (p.136,(1972)) proved there is no UMP test. And Madia (p.137,(1972)) also proposed the likelihood ratio test. In this paper, we are about to employ the concept of locally most powerful unbiased test to derive a test and excute some comparsions between these two tests. Ho-Jan Chang 張浩然 1994 學位論文 ; thesis 37 en_US |
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碩士 === 國立中興大學 === 應用數學研究所 === 82 === The research of directional data has attracted more and more
attention of statisticans in the recent years. We will handle
the problem about the two-dimensional data throughout this
context and refer such data as the circular data. Having a lot
of important characterization as the normal distribution does
in the linear statistics, the von Mises distribution has a
great importance in the circular data. It makes people to
devote a lot of eff- orts in the dealing with the investigation
of this distribution. For the problem of testing whether a
given sample of von Mises dirtribution has zero direction, when
the concentration parameter is fixed, Madia (p.136,(1972))
proved there is no UMP test. And Madia (p.137,(1972)) also
proposed the likelihood ratio test. In this paper, we are about
to employ the concept of locally most powerful unbiased test to
derive a test and excute some comparsions between these two
tests.
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author2 |
Ho-Jan Chang |
author_facet |
Ho-Jan Chang Pei-Sheng Lin 林培生 |
author |
Pei-Sheng Lin 林培生 |
spellingShingle |
Pei-Sheng Lin 林培生 The Locally Most Powerful Unbiased Test for the location parameter of von Mises Distribution |
author_sort |
Pei-Sheng Lin |
title |
The Locally Most Powerful Unbiased Test for the location parameter of von Mises Distribution |
title_short |
The Locally Most Powerful Unbiased Test for the location parameter of von Mises Distribution |
title_full |
The Locally Most Powerful Unbiased Test for the location parameter of von Mises Distribution |
title_fullStr |
The Locally Most Powerful Unbiased Test for the location parameter of von Mises Distribution |
title_full_unstemmed |
The Locally Most Powerful Unbiased Test for the location parameter of von Mises Distribution |
title_sort |
locally most powerful unbiased test for the location parameter of von mises distribution |
publishDate |
1994 |
url |
http://ndltd.ncl.edu.tw/handle/68815347836793196315 |
work_keys_str_mv |
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