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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Main Authors: Pei-Sheng Lin, 林培生
Other Authors: Ho-Jan Chang
Format: Others
Language:en_US
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/68815347836793196315
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spelling 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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description 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.
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
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