Publications
Detailed Information
Zero Inflation Model for Food Poisoning index
Cited 0 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Advisor
- 조신섭
- Major
- 통계학과
- Issue Date
- 2012-02
- Publisher
- 서울대학교 대학원
- Description
- 학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2012. 2. 조신섭.
- Abstract
- In this thesis, we review the event count data analysis methods. In particular, we focus on the zero-inflated regression and time series models in contrast to the well-known GLM regression model. The event count regression models including Poisson regression and negative binomial regression are introduced. Then, we analyze the food poisoning data using the zero-inflated models which consider mixed probability distributions. It is well known that the zero-inflated models can catch the special characteristics such as the over-dispersion and zero-inflation of the real life data. We compare the performances of the zero-inflated models with the other models using Vuong statistic and propose new food-poisoning index based on the zero-inflated model.
- Language
- eng
- URI
- https://hdl.handle.net/10371/155780
http://dcollection.snu.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000000096
- Files in This Item:
- There are no files associated with this item.
- Appears in Collections:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.