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題名 空間統計在研究犯罪外溢作用之應用
作者 張紹禕
貢獻者 張健邦
張紹禕
關鍵詞 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
日期 1994
1993
上傳時間 29-Apr-2016 15:30:43 (UTC+8)
摘要 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
參考文獻 [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.
描述 碩士
國立政治大學
統計學系
81354001
資料來源 http://thesis.lib.nccu.edu.tw/record/#B2002003818
資料類型 thesis
dc.contributor.advisor 張健邦zh_TW
dc.contributor.author (Authors) 張紹禕zh_TW
dc.creator (作者) 張紹禕zh_TW
dc.date (日期) 1994en_US
dc.date (日期) 1993en_US
dc.date.accessioned 29-Apr-2016 15:30:43 (UTC+8)-
dc.date.available 29-Apr-2016 15:30:43 (UTC+8)-
dc.date.issued (上傳時間) 29-Apr-2016 15:30:43 (UTC+8)-
dc.identifier (Other Identifiers) B2002003818en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/88350-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 統計學系zh_TW
dc.description (描述) 81354001zh_TW
dc.description.abstract (摘要) 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zh_TW
dc.description.tableofcontents 第一章 前言

第一節 研究動機…………………………………………………………..………………………………1
第二節 文獻回顧…………………………………………………………..………………………………4
第三節 全文結構…………………………………………………………..………………………………8

第二章 空間自我相關迴歸模式的建立

第一節 空間自我相關模式……………………………………………………………………………9
第二節 調整古典線性統計模式……………………………………….…………………………12
第三節 空間自我相關模式……………………………………………….…………………………17
第四節 空間統計估計量的一致性………………………………………………………………19
第五節 檢定空間自我相關參數…………………………………………….……………………22
第六節 空間相關常態多變量模式………………………………………………………………25

第三章 實證分析－臺北市移動性犯罪分析………………………………………………………29

第四章 結論…………………………………………………………………………………………………………37

參考文獻……………………………………………………..…………………………………………………………39		zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#B2002003818en_US
dc.subject (關鍵詞) 犯罪zh_TW
dc.subject (關鍵詞) 外溢zh_TW
dc.subject (關鍵詞) 移動zh_TW
dc.subject (關鍵詞) 空間zh_TW
dc.subject (關鍵詞) 空間參數zh_TW
dc.subject (關鍵詞) 空間統計zh_TW
dc.subject (關鍵詞) 自我迴歸zh_TW
dc.subject (關鍵詞) 自我相關zh_TW
dc.subject (關鍵詞) 主成分zh_TW
dc.subject (關鍵詞) 最大變異旋轉zh_TW
dc.subject (關鍵詞) 空間自我相關zh_TW
dc.subject (關鍵詞) spilloversen_US
dc.subject (關鍵詞) movingen_US
dc.subject (關鍵詞) spatialen_US
dc.subject (關鍵詞) spatial parameteren_US
dc.title (題名) 空間統計在研究犯罪外溢作用之應用zh_TW
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) [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.		zh_TW