- 著者
- Akahira Masafumi
- 出版者
- 日本統計学会
- 雑誌
- Journal of the Japan Statistical Society (ISSN:03895602)
- 巻号頁・発行日
- vol.23, no.1, pp.19-31, 1993
In the presence of a nuisance parameter the asymptotic deficiency of the discretizedlikelihood estimator (DLE) relative to the bias-adjusted maximum likelihood estimatoris obtained under the assumed model. It consists of two parts. One is the lossof information associated with the DLE of the parameter to be estimated. Another,is that due to the "incorrectness" of the assumed model. Some examples on the normaland Weibull type distributions are given.