Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis

In hydrological statistics, the traditional assessment of goodness of fit test is interested in the testing precision to the sample generated from supposed PDF. However, the ability to reject the hypotheses when the supposed PDF is different from real PDF should be also emphasized. In addition, the...

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Main Authors: Xiankui Zeng, Dong Wang, Jichun Wu
Format: Article
Language:English
Published: Society for Risk Analysis - China 2015-10-01
Series:Journal of Risk Analysis and Crisis Response (JRACR)
Subjects:
Online Access:https://www.atlantis-press.com/article/25840913.pdf
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author Xiankui Zeng
Dong Wang
Jichun Wu
author_facet Xiankui Zeng
Dong Wang
Jichun Wu
author_sort Xiankui Zeng
collection DOAJ
description In hydrological statistics, the traditional assessment of goodness of fit test is interested in the testing precision to the sample generated from supposed PDF. However, the ability to reject the hypotheses when the supposed PDF is different from real PDF should be also emphasized. In addition, the sensitivity of test method to series length is important in hydrological analysis. Three methods of goodness of fit test that include Chi-Square (C-S), Kolmogorov-Smirnov (K-S), and Anderson-Darling (A-D) tests are applied in this study. The results of power test indicate that the most powerful tests for normal, uniform, P3, and Weibull distribution are K-S, C-S, and A-D tests, respectively. The test method with the best comprehensive power is C-S test, followed by K-S and A-D test.
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spelling doaj.art-6100308d4b72402d8c41f1010e7bf1472022-12-22T00:55:50ZengSociety for Risk Analysis - ChinaJournal of Risk Analysis and Crisis Response (JRACR)2210-85052015-10-015310.2991/jrarc.2015.5.3.5Evaluating the Three Methods of Goodness of Fit Test for Frequency AnalysisXiankui ZengDong WangJichun WuIn hydrological statistics, the traditional assessment of goodness of fit test is interested in the testing precision to the sample generated from supposed PDF. However, the ability to reject the hypotheses when the supposed PDF is different from real PDF should be also emphasized. In addition, the sensitivity of test method to series length is important in hydrological analysis. Three methods of goodness of fit test that include Chi-Square (C-S), Kolmogorov-Smirnov (K-S), and Anderson-Darling (A-D) tests are applied in this study. The results of power test indicate that the most powerful tests for normal, uniform, P3, and Weibull distribution are K-S, C-S, and A-D tests, respectively. The test method with the best comprehensive power is C-S test, followed by K-S and A-D test.https://www.atlantis-press.com/article/25840913.pdfTest methodFrequency analysisChi-SquareKolmogorov-SmirnovAnderson-Darling
spellingShingle Xiankui Zeng
Dong Wang
Jichun Wu
Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis
Journal of Risk Analysis and Crisis Response (JRACR)
Test method
Frequency analysis
Chi-Square
Kolmogorov-Smirnov
Anderson-Darling
title Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis
title_full Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis
title_fullStr Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis
title_full_unstemmed Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis
title_short Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis
title_sort evaluating the three methods of goodness of fit test for frequency analysis
topic Test method
Frequency analysis
Chi-Square
Kolmogorov-Smirnov
Anderson-Darling
url https://www.atlantis-press.com/article/25840913.pdf
work_keys_str_mv AT xiankuizeng evaluatingthethreemethodsofgoodnessoffittestforfrequencyanalysis
AT dongwang evaluatingthethreemethodsofgoodnessoffittestforfrequencyanalysis
AT jichunwu evaluatingthethreemethodsofgoodnessoffittestforfrequencyanalysis