著者
Akahira M. Ohyauchi N.
出版者
Taylor & Francis Group
雑誌
Communications in statistics. Theory and methods (ISSN:03610926)
巻号頁・発行日
vol.36, no.11, pp.2049-2059, 2007-08
被引用文献数
1 4

In non-regular cases when the regularity conditions does not hold, the Chapman–Robbins (1951) inequality for the variance of unbiased estimators is well known, but the lower bound by the inequality is not attainable. In this article, we extend the Kiefer-type information inequality applicable to the non-regular case to the asymptotic situation, and we apply it to the case of a family of truncated distributions, in which the lower bound by the Kiefer-type inequality derived from an appropriate prior distribution is attained by the asymptotically unbiased estimator. It also follows from the completeness of the sufficient statistic that the lower bound is asymptotically best. Some examples are also given.
著者
Akahira M. Ohyauchi N.
出版者
Taylor & Francis
雑誌
Statistics : a journal of theoretical and applied statistics (ISSN:02331888)
巻号頁・発行日
vol.41, no.2, pp.137-144, 2007-04
被引用文献数
3 9

From the Bayesian viewpoint, the information inequality applicable to the non-regular case is discussed. It is shown to construct an estimator which minimizes locally the variance of any estimator satisfying weaker conditions than the unbiasedness condition from which an information inequality is derived. The Hammersley–Chapman–Robbins inequality is also obtained as a special case of the inequality. An example is also given.
著者
Akahira M. Shimizu A. Takeuchi K.
出版者
Università di Bologna
雑誌
Statistica (ISSN:19732201)
巻号頁・発行日
vol.65, no.4, pp.351-365, 2005

In current physics experiments, there are many cases when the value of a parameter is theoretically assumed to be nonnegative or positive. In such cases, a combined Bayesian-frequentist approach to confidence intervals for a positive parameter is adopted in this paper, and the confidence intervals are constructed. Comparisons of the confidence intervals with ordinary and Bayesian ones are done in the normal cases.