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    Title: 空間統計在研究犯罪外溢作用之應用
    Authors: 張紹禕
    Contributors: 張健邦
    張紹禕
    Keywords: 犯罪
    外溢
    移動
    空間
    空間參數
    空間統計
    自我迴歸
    自我相關
    主成分
    最大變異旋轉
    空間自我相關
    spillovers
    moving
    spatial
    spatial parameter
    Date: 1994
    1993
    Issue Date: 2016-04-29 15:30:43 (UTC+8)
    Abstract: 犯罪行為受到警力或法律執行的影響,會移動到鄰近警力較差地區。正如
    Reference: [1]張健邦,民國82年,應用多變量分析,文富
    [2]許春金,民國77年,犯罪學,三民書局
    [3]徐氏基金會編輯部編譯,民國77年,應用之多變量統計學,徐氏基金會
    [4]Besag,J.,1974,”Spatial interaction and the statistical analysis of lattice system”, Journal of the Royal Statistical Society ,series B,36,192-236.
    [5]Brandsma,A.,and Ketellapper R.,1979,”A biparametric approach to spatial autocorrelation”, Enviroment and Planning A,11,51-58.
    [6]Cliff,A.,and J. Ord, 1973, Spatial Autocorrelation,London : Pion.
    [7]Cressie N.and Ngai H. Chan,1989,” Spatial modeling of regional variables”, Journal of the American Statistical Association ,84, 393-401.
    [8]Fabrikant R., 1980,”The distribution of criminal offenses in an urban enviroment: A spatial analysis of criminal spillovers and of juvenile of offenders”,American Journal of Economics and Sociology, 38,32-47.
    [9]Griffith, D., 1980,” Towards a theory of spatial Statistics”, Geographical Analysis, 12,325-339.
    [10]Griffith D.A., 1979, “Urban dominance, spatial structure, and spatial dynamics : some theoretical conjectures and empirical implications”, Economic geography, 55,95-112.
    [11]Griffith D.A., 1988,Advanced Spatial Statistics, USA:Klauwer Academic Publishers.
    [12]Gylys, Julius A., 1974, “The interdependence of Municipal and County Police Forces”. American Journal of Economics Sociology, 33, 75-88.
    [13]Hope,A.C.A. , 1968,” A simplified Monte Carlo significance test procedure”, Journal of the Royal Statistical Society, series B,30,582-598.
    [14]Kelling,George,Dieckman,D.,and Brown C.,1974,The Kansas City Preventive Patrol Experiment : A Summary Report, Washington D.C. : Police Foundation.
    [15]Lindgren,1976,Statistical Theory,3rd ed, New York:Mac Millan.
    [16]Mardia, K.V. and Marshall , R.J.,1984,” Maximum likelihook estimation of models for residual covariance in spatial regression”, Biometrica, 71,135-146
    [17]Martin,R.,1974,” On spatial dependence, bias and the use of first spatial differences in regression analysis”, Area,6,185-194.
    [18]Mehay,Stephen L.,1973,”Production Functions for Crime-Deterrent Police Services”, Ph.D. dissertation, University of California at Los Angeles.
    [19]Morin,D.,1991,” On some properties of the moran index”, Statistica, 423-436.
    [20]Neter J.,Wasserman W. and Kutner H.K., 1990, Applied Linear Statistical Models, 3nd ed, USA:Richard D.Irwin,Inc.
    [21]Ord K.,” Estimation methods for models of spatial interaction” , Journal of the American Statistical Association, 70,120-126.
    [22]Sherman,Lawrence, and Berk B.,1984,”The Specific eterrent Effects of Arrest for Domestic Assault”,Amercian Sociological Review ,49,72-261.
    [23]Student,1914,” The elimination of spurious correlation due to position time or space”, Biometrica,10,179-180.
    [24]Upton,G.,and B.Fingleton,1985,Spatial data analysis by example:Point pattern and quantitative data, Vol.1,New York : Wiley.
    [25]Wartenberg D.,1985,”Multivariate spatial correlation : A method for exploratory”, Geographical Analysis, 17,263-283.
    [26]Whittle P.,1954,” On stationary processes in the plane”, Biometrica,41, 434-449.
    Description: 碩士
    國立政治大學
    統計學系
    81354001
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002003818
    Data Type: thesis
    Appears in Collections:[Department of Statistics] Theses

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