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A Study on a Semiparametric Method to Point Source Modelling and its Application
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 박병욱 | - |
dc.contributor.author | 송호승 | - |
dc.date.accessioned | 2017-07-19T08:46:59Z | - |
dc.date.available | 2017-07-19T08:46:59Z | - |
dc.date.issued | 2016-08 | - |
dc.identifier.other | 000000136536 | - |
dc.identifier.uri | https://hdl.handle.net/10371/131319 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2016. 8. 박병욱. | - |
dc.description.abstract | Diggle 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. | - |
dc.description.tableofcontents | Chapter 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 | - |
dc.format | application/pdf | - |
dc.format.extent | 3506605 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Point Source | - |
dc.subject.ddc | 519 | - |
dc.title | A Study on a Semiparametric Method to Point Source Modelling and its Application | - |
dc.type | Thesis | - |
dc.description.degree | Master | - |
dc.citation.pages | 21 | - |
dc.contributor.affiliation | 자연과학대학 통계학과 | - |
dc.date.awarded | 2016-08 | - |
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