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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/7764

    Title: 前二階樣本動差之函數在m相關平穩過程上之統計推論;Statistical Inferences of Statistics that Are Functions of First Two Moments Based on m Dependent Stationary Process
    Authors: 劉瑞正;Ruan-Zhen Liu
    Contributors: 數學研究所
    Keywords: 前二階樣本動差;m 相關平穩過程;大數法則;中央極限定理;點估計;區間估計;檢定;雙對數定理
    Date: 2000-06-30
    Issue Date: 2009-09-22 11:04:48 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 很多常用的統計量都是前二階樣本動差之函數,除樣本平均數及樣本變異數外.如 t 形式統計量,製程能力指標之估計式,樣本相關係數,常態分布 Quantile 之估計(參考 Lehmann(1983),P86),及列聯表odds ratio 之估計(參考Agesti(1990))等.統計學家比較熟悉的是上述統計量用於i.i.d 之數據的結果.本文主要探討樣本平均數,樣本變異數及製程能力指標之估計式(其他統計量之討論方法類似)在 m 相關平穩過程(stationary process)之大數法則,中央極限定理及雙對數定理再應用於統計推論,如點估計,區間估計及檢定等.
    Appears in Collections:[數學研究所] 博碩士論文

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