Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions

被引:4
|
作者
Akahira, Masafumi [1 ]
机构
[1] Univ Tsukuba, Inst Math, Tsukuba, Ibaraki 3058571, Japan
关键词
Truncated exponential family; Natural parameter; Truncation parameter; Maximum likelihood estimator; Maximum conditional likelihood estimator; Stochastic expansion; Asymptotic variance; Second-order asymptotic loss; LIKELIHOOD ESTIMATORS;
D O I
10.1007/s10463-014-0502-9
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
For a truncated exponential family of distributions with a natural parameter theta and a truncation parameter gamma as a nuisance parameter, it is known that the maximum likelihood estimators (MLEs) (theta) over cap (gamma)(ML) and (theta) over cap (ML) of theta for known gamma and unknown gamma, respectively, and the maximum conditional likelihood estimator (theta) over cap (MCL) of theta are asymptotically equivalent. In this paper, the stochastic expansions of (theta) over cap (gamma)(ML) (theta) over cap (ML) and (theta) over cap (MCL) are derived, and their second-order asymptotic variances are obtained. The second-order asymptotic loss of a bias-adjusted MLE (theta) over cap (ML)* relative to (theta) over cap (gamma)(ML) is also given, and (theta) over cap (ML)* and (theta) over cap (MCL) are shown to be second-order asymptotically equivalent. Further, some examples are given.
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页码:469 / 490
页数:22
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