著者

Akahira Masafumi Kawai Shinichi

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.20, no.2, pp.149-157, 1990

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In some regression model, the minimum (asymptotic) variance estimator of a ratiois discussed for some class of linear combinations of ratio estimators, and the jackknifeprocedure is considered. It is seen that the grouped jackknife estimator is optimal inthe sense that it has asymptotically the minimum variance in the class. Higher orderbias reduction of the estimators is discussed, and some examples are given.