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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/7889

    Title: 以適合度檢定測量分布間之接近度;Measure the Closeness of Density Functions by goodness of fit tests
    Authors: 王楚元;Chu-Yuan Wang
    Contributors: 數學研究所
    Date: 2007-03-30
    Issue Date: 2009-09-22 11:08:14 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 本文討論指數分布,柯西分布,t分布和常態分布之間的接近程度,我們以Pearson卡方及Kolmogorov-Sminov適合度檢定作為判斷的標準,基本概念如下:較不接近常態分布之分布在作常態性檢定時檢定力應較高。較不接近雙指數分布之分布在作雙指數性檢定時檢定力應較高。較不接近柯西分布之分布在作柯西性檢定時檢定力應較高。我們將用計算機模擬方式比較不同分布之檢定力。 In this paper , we discuss the closeness of two density functions by goodness of fit tests . The idea is as follows . Consider the test H:data is sampled from f . For those g that are close to f , the powers will be small . We will make comparisons between normal , double exponential , Cauchy and t distributions by simulations .
    Appears in Collections:[數學研究所] 博碩士論文

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