컨텐츠 시작
학술대회/행사
초록검색
| 제출번호(No.) | 0491 |
|---|---|
| 분류(Section) | Poster Session |
| 분과(Session) | Probability / Stochastic Process / Statistics (SS-12) |
| 영문제목 (Title(Eng.)) |
[CANCELLED] Interval estimation in a model for binary responses |
| 저자(Author(s)) |
Pei Shan Fam1, Ah Hin Pooi2, Abdul Ghapor bin Hussin3 School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia.1, Sunway University Business School, Petaling Jaya, Malaysia.2, Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur, Malaysia.3 |
| 초록본문(Abstract) | Logistic function is an S-shape function used frequently for analyzing the dependence of binary response on explanatory variables. Presently we model the binary response using a family of S-shape functions which includes the logistic function as a special case. Bootstrap procedure, normal approximation and calibrated bootstrap are used to construct confidence intervals for the individual parameters in the resulting model. It is found that the bootstrap confidence interval and the confidence interval based on normal approximation have comparable performance, and calibration procedure tends to improve the coverage probability of the bootstrap confidence interval. |
| 분류기호 (MSC number(s)) |
62H11 |
| 키워드(Keyword(s)) | logistic function, confidence interval, coverage probability |
| 강연 형태 (Language of Session (Talk)) |
English |