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    政大機構典藏 > 理學院 > 應用數學系 > 學位論文 >  Item 140.119/90189
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/90189


    Title: 兩相分層抽樣中貝氏最佳解的特例
    Authors: 徐惠莉
    Contributors: 宋傳欽
    徐惠莉
    Date: 1990
    1989
    Issue Date: 2016-05-03 14:17:40 (UTC+8)
    Abstract: (一) Smith & Sedransk ( 1982 )利用雙重抽樣方法研究魚群年齡組成,給定第一階段樣本數nν及其分配nv= (n1ν,...., n1ν),說明如何選取最佳的貝氏子樣本數分配n0∞=( n01∞,...,n01∞), 使得近似風險函數r∞ (nν, nν, n0∞)最小,而後Jinn. Smith
    Reference: <註1> Cochran ,W. G. (1977).
    Sampling Techniques , 3rd edition 327 - 328. New York:Wiley.
    <註2> Smith.P.J. and Sedransk.J. (1982).
    Bayesian Optimization of Estimation of the Age Composition of a Fish Population.
    Journal of American Statistical Association 77. 707 - 713.
    <註3> J.H.Jinn, J.Sedransk and Philip Smith (1987)
    Optimal Two-Phase Stratified Sampling f or Estimation of the Age Composition of a Fish Position.
    BIOMERTICS 43. 343 - 353.
    <註4 > poststratification variable. 在實驗前母體無法被分層,因此可在第一階段抽樣後,利用這個變數觀察所抽取的樣本,將母體分層,因此為一輔助變數。
    <註5>因為
    fν ({ n1 }∣nν , { P1 }) f ({P1 }∣{b1})=( nν)!Γ(b.)█(I@π@i=1)^ [" " ?P_1?^(n^ν+b-1)/(?n_(?n_1?^ν )?^ν !Γ(b1))]
    所以
    g({n1ν}∣nν)
    =∫??(n^ν ?)! Γ(b.) █(I@π@i=1)^ [" " ?P_1?^(n^ν+b-1)/(?n_(?n_1?^ν )?^ν !Γ(b1))] dP
    =((n^ν)! Γ(b.) )/(?π^2?_(i=1) ?? n?_1?^ν∣Γ(b1)) ∫?█(I@π@i=1)^ ?P_1?^(n^ν+b-1) dP
    =((n^ν)! Γ(b.) )/(?π^2?_(i=1) ?? n?_1?^ν∣Γ(b1)) (?π^2?_(i=1) ??Γ( n?_1?^ν+b1))/( Γ(n^ν+b.) )
    所以
    f’’({P1},I nν,{ n1})
    =(f^ν ({ n_1 }∣n^(ν ) ,{ P_1 }) f ({P_1 }∣{b_1}))/(g({ ?n_1?^ν }∣n^(ν ) )
    =Γ(nν+b.) █(I@π@i=1)^ [" " ?P_1?^(n^ν+b-1)/(Γ(n^ν+b.))]
    <註6 >矩陣k 表研究者對於不同母體的重視程度.若對所有母體均有相等的重視,則取kjj =1 j一般視研究的目的來選取{kjj}.
    <註7>梁淑真.(1989). 雙重抽樣之貝氏最佳樣本與子樣本數選取的特例. P9.
    <註8>DEGROOT,MORRIS H.(1970).
    Optimal Statistical Decision. P234.
    New York:McGraw-Hill.
    <註9 > Rao , J.N.K, and Ghangurde , P.D. (1972)
    Baysian Optimization in Sampling Finite Populations. Journal of the American Statistical Association 67.439 - 443.
    <註10>同<註7>, P19-P35.
    <註11>同<註7>,P28, P35.
    <註12>由<註5>知,當I=2, f’’({P1},I nν,{ n1})為Beta分配,所以
    E’’(P12)=∫P12Γ(n^ν+b.) █(I@π@i=1)^ [" " ?P_1?^(n^ν+b-1)/(?n_(?n_1?^ν )?^ν !Γ(b1))] dP1
    =( ( ?n_1?^ν ?+ b?_1)(?n_1?^ν+b_1+1))/( (n^ν+b.)(n^ν+b.+1))
    I=1,2.
    <註13> (3.3.1)式的f’(n1∣nν,P1)與(2.2.6)式的g(n1ν∣nν)機率分配的圖形比較,較為陡峭的為前者,較為平緩的為後者.
    <註14>Tom M. Apostol.(1977)
    Mathematical Analysis. 2nd edition. 354-355.
    <註15>同<註7>,P36-P45.
    Description: 碩士
    國立政治大學
    應用數學系
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002005454
    Data Type: thesis
    Appears in Collections:[應用數學系] 學位論文

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