Improved estimation of hydrologic data using the chi-square goodness-of-fit test

Yung Ping Huang, Cheng Haw Lee, Cheh Shyh Ting

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)515-521
Number of pages7
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Volume31
Issue number3
DOIs
Publication statusPublished - 2008 Jan 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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