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A Study on a Semiparametric Method to Point Source Modelling and its Application

DC Field Value Language
dc.contributor.advisor박병욱-
dc.contributor.author송호승-
dc.date.accessioned2017-07-19T08:46:59Z-
dc.date.available2017-07-19T08:46:59Z-
dc.date.issued2016-08-
dc.identifier.other000000136536-
dc.identifier.urihttps://hdl.handle.net/10371/131319-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2016. 8. 박병욱.-
dc.description.abstractDiggle has been analysed point source problems, and he suggested a independent
Poisson Process model for disease case and control with each intensity
functions (1990). Also, Diggle and Rowlingson (1994) suggested a non-linear
binary model for that bivariate poisson process model by conditioning case
and control locations. By this method, they can extend a model to include
several point sources and explanatory variables. Especially, Rodrigues, Diggle
and Assucao (2009) suggested a semiparametric model as a Generalized
Additive Model(GAM) to analyse point source effect in Epidemiology and
Criminology. This paper introduces semiparametric approach for point source
modelling and its application. Also, we apply that method to asthma data
and compare its result to previous parametric result in 1994.
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dc.description.tableofcontentsChapter 1 Introduction 1

Chapter 2 The Conditional Approach to Point Source Model 3
2.1 Poisson Process Model for a Point Source 3
2.2 Conditional Approach 4

Chapter 3 Semiparametric Approach 6

Chapter 4 Application 8
4.1 Larynx and Lung Cancers in Lancashire, UK 8
4.2 CCTV in Belo, Brazil 9

Chapter 5 Simulation 15

Chapter 6 Conclusion 20

References 21

국문 초록 22
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dc.formatapplication/pdf-
dc.format.extent3506605 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectPoint Source-
dc.subject.ddc519-
dc.titleA Study on a Semiparametric Method to Point Source Modelling and its Application-
dc.typeThesis-
dc.description.degreeMaster-
dc.citation.pages21-
dc.contributor.affiliation자연과학대학 통계학과-
dc.date.awarded2016-08-
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