컨텐츠 시작
학술대회/행사
초록검색
| 제출번호(No.) | 0579 |
|---|---|
| 분류(Section) | Poster Session |
| 분과(Session) | Probability / Stochastic Process / Statistics (SS-12) |
| 영문제목 (Title(Eng.)) |
[CANCELLED] Bootstrap confidence interval for kernel density estimation using Champernowne transformation |
| 저자(Author(s)) |
Kartiko1, Suryo Guritno1, Dedi Rosadi1, Abdurakhman1 Gadjahmada University1 |
| 초록본문(Abstract) | Density estimation is widely used in economics, social sciences, engineering as well as in medicine. Several kinds of density estimation method has been developed, here it is restricted in the use of kernel. function. There is problems in the estimation concerning end points, which is solved among others bu Bruch Kroman (2009) by the use of Champernowne transformation. In this paper bootstrap is used to construct its confidence interval. |
| 분류기호 (MSC number(s)) |
6209 |
| 키워드(Keyword(s)) | density estimation, champernowne distribution, end points estimation, bootstrap |
| 강연 형태 (Language of Session (Talk)) |
English |