Hurdle Model for Zero-Inflated Count Data from Mobile Phone Market

• 발행기관: 한국자료분석학회
• 저자명: 정대현(Daehyun Chung)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.9 No.1, 1~8쪽, 전체 8쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2007.02.28

영문 초록

For count responses, the situation of excess zeros(disproportionately more zeros than what standard models allow) often occurs in management and sociological applications. The zero-inflated Poisson regression model has been used for count data with excess zeros. An alternative approach is the hurdle model, in which the second part is governed by a truncated Poisson or negative binomial distribution. We apply the models to draw the relation between the frequency of moving mobile phone companies and customers social attributes such as age, income and so on. We compare the models to the Poisson model in terms of log-likelihood.

목차

1. Introduction

2. Description of the Data

3. Zero-Inflated Poisson (ZIP) Models and Hurdle Models

4. Discussion and Conclusion

References

키워드

Zero-inflated Poisson Hurdle model Negative Binomial model Logit.1. IntroductionMobile telecommunication service in the nation has set in the period of maturity. In this mature age almost everyone is already subscribed for the mobile telecommuni