This study considers the complete Chi-Square goodness-of-fit test procedures and numerical analysis to improve the intermediate value method for an approximate solution of the cumulative distribution function. The goodness-of-fit test is applied for evaluating the appropriate distribution of frequency analysis for estimating annual maximum flows of hydrologic data, from four measurement stations (Lounung, Yuemei, Santimem, and Kaoping stations) located in the Kaoping River Basin. Analytical results indicate that the error percentage of the Chi-Square statistical values is improved by from 0.3 to 38.3%. Thus, the improved estimation of the Chi-Square goodness-of-fit test procedure increases the accuracy of some frequency distributions.
|Number of pages||7|
|Journal||Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an|
|Publication status||Published - 2008 Jan 1|
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