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題 名 | 適合度檢定新方法之探討與其檢定力之比較=The Study to the New Method of Goodness-of-Fit Test and the Comparison of Power between the New Method and Others |
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作 者 | 謝邦昌; 柯志明; | 書刊名 | 民意研究季刊 |
卷 期 | 200 1997.04[民86.04] |
頁 次 | 頁1-16 |
分類號 | 540.19 |
關鍵詞 | 適合度檢定; 檢定力; Goodness-of-fit test; Power; |
語 文 | 中文(Chinese) |
中文摘要 | 在民意調查中,常須對母體與樣本結構作適合度檢定,而無母數統計的研究問題 中,對於母體的分配函數未知,一般會採取適合度檢定以對母體分配進行分析。到目前為止 , 最受重視的兩個適合度檢定的方法:一是卡方檢定 (the chi-square goodness- of-fit test);一是 K-S 檢定 (the Kolmogorov-Smirnov goodness-of-fit test)。本研究將提出 一個新的適合度檢定的方法,並利用統計模擬,對新方法與前兩者進行檢定力之比較。為了 行文方便, 我們暫時稱新方法為〞機率離差平方和法〞 (probability's sum of square due to error),簡稱 P-SSE。檢定力比較的結果 P-SSE 法的檢定力與前述兩種方法互有優 劣。 |
英文摘要 | In the research of nonparametric statistics, if the distribution fuction of the population remains unknown, a general way to analize the distribution fuction of the population is to apply goodness-of-fit test. So far, there are two most emphasized ways, one is the chisquare goodness- of-fit test, the other is the Kolmogorov-Smirnov goodness-of- fit test. This research provides a new goodness-of-fit test, and also compare the difference between the chisauare goodness of fit test and the Kolmogorov-smirnov goodness-of- fit test by susing statistics simulation. The new test is temperarily name "Sum of Square due to Error of Probability", and "P-SSE" in abbreviation. Moreover, under some certain situations, the results of the research show that the power of P-SSE test is better than both aforsaid ways. |
本系統中英文摘要資訊取自各篇刊載內容。