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Title: | 抽樣調查中關於缺失資料之各種補齊法性質之研究 |
Authors: | 楊淑蘭 |
Contributors: | 金建輝 楊淑蘭 |
Date: | 1989 |
Issue Date: | 2016-05-04 14:24:05 (UTC+8) |
Abstract: | 論文摘要
由於時代的急速變遷,人們所面臨的問題日趨複雜。在有限的人力與財力限制之下,欲對目標母體(target population) ,作一詳細的調查與研究通常是不可能的,因此如何藉由抽樣方法從母體中抽取具有代表性的樣本是重要的。在抽樣調查的過程中我們常常發現樣本回收率沒有原來預期的高,若我們只用回收的樣本去做資料分析,常常使我們作成的結果有偏誤(biased) 。本文的目的即在針對此一問題,做一深入的研究探討。
在日常生活中經常會遇到所欲研究變數y與其另一輔助變數x有某種線性關係存在。例如農作物產量與種植面積、 家庭收入與家庭支出、1980 年全市人口總數與1970 年全市人口總數等。為方便研究起見,首先假設一簡單的線性迴歸模式:
Y 1 =βX 1 +ε1 ε1~i.i.d.N ( 0,σ2 )
在上式中,若(X1,YI ) i=l , 2 , ......n 為一完整的資料集,即n個隨機樣本(X1 , Y1) 皆無缺失值,則β 與σ2 的最小平方估計式可以很快求出,現在假設y值有部份缺失值,則必須想辦法把缺失的y值補齊,才能進一步研究β 與σ2 的性質,本文即針對下列六種插補法, (a)平均插補法(10) 、(b)隨機插補法(R 0)、(c)分層平均插補法(MC)、(d)分層隨機插補法(RC) 、(e)簡單迴歸插補法(R G)及(f)隨機迴歸插補法(RRS,RRN),根據所建立的模式,運用各種不同的插補法將缺失值予以補齊後,對模式結果作理論的探討,並對各種插補法作綜合分析比較。最後利用其理論結果,配合1986 年美國零售交易普查資料作實證研究,並分析其實證結果。 |
Reference: | 參考文獻
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Description: | 碩士 國立政治大學 統計學系 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#B2002005728 |
Data Type: | thesis |
Appears in Collections: | [統計學系] 學位論文
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