Fuzzy Chi-square Test Statistic for goodness-of-fit
碩士 === 國立政治大學 === 應用數學研究所 === 95 === In the analysis of research data, the investigator often needs to decide whether several independent samples may be regarded as having come from the same population. The most commonly used statistic is Pearson’s statistic. However, traditional statistics reflec...
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ndltd-TW-095NCCU55070062015-10-13T16:41:20Z http://ndltd.ncl.edu.tw/handle/17929009994864911856 Fuzzy Chi-square Test Statistic for goodness-of-fit 模糊卡方適合度檢定 Lin,Pei Chun 林佩君 碩士 國立政治大學 應用數學研究所 95 In the analysis of research data, the investigator often needs to decide whether several independent samples may be regarded as having come from the same population. The most commonly used statistic is Pearson’s statistic. However, traditional statistics reflect the result from a two-valued logic concept. If we want to survey sampling with fuzzy logic concept, is it still appropriate to use the traditional -test for analysing those fuzzy sample data? Through this concept, we try to use a traditional statistic method to find out a formula, called fuzzy , that enables us to deal with those fuzzy sample data. The result shows that we can use the formula to test hypotheses about probabilities of various outcomes in fuzzy sample data. wu,Berlin 吳柏林 2007 學位論文 ; thesis 30 en_US |
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碩士 === 國立政治大學 === 應用數學研究所 === 95 === In the analysis of research data, the investigator often needs to decide whether several independent samples may be regarded as having come from the same population. The most commonly used statistic is Pearson’s statistic. However, traditional statistics reflect the result from a two-valued logic concept. If we want to survey sampling with fuzzy logic concept, is it still appropriate to use the traditional -test for analysing those fuzzy sample data? Through this concept, we try to use a traditional statistic method to find out a formula, called fuzzy , that enables us to deal with those fuzzy sample data. The result shows that we can use the formula to test hypotheses about probabilities of various outcomes in fuzzy sample data.
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wu,Berlin |
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wu,Berlin Lin,Pei Chun 林佩君 |
author |
Lin,Pei Chun 林佩君 |
spellingShingle |
Lin,Pei Chun 林佩君 Fuzzy Chi-square Test Statistic for goodness-of-fit |
author_sort |
Lin,Pei Chun |
title |
Fuzzy Chi-square Test Statistic for goodness-of-fit |
title_short |
Fuzzy Chi-square Test Statistic for goodness-of-fit |
title_full |
Fuzzy Chi-square Test Statistic for goodness-of-fit |
title_fullStr |
Fuzzy Chi-square Test Statistic for goodness-of-fit |
title_full_unstemmed |
Fuzzy Chi-square Test Statistic for goodness-of-fit |
title_sort |
fuzzy chi-square test statistic for goodness-of-fit |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/17929009994864911856 |
work_keys_str_mv |
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