THE DISTRIBUTION OF MOMENT ESTIMATORS

THE DISTRIBUTION OF MOMENT ESTIMATORS
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矩估计量的分布

DOI:
10.1093/biomet/46.3-4.296
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发表时间:
1959
期刊:
影响因子:
2.7
通讯作者:
L. Shenton
L. Shenton
中科院分区:
数学2区
文献类型:
--
作者:
L. Shenton

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二号!(D=~ f2(14)2!2= h3&lt;&gt; 2+ h2 Of--&amp;&gt;< M T>(4)其中,在对(3)微分两次之后,h(-)= 2(1a 2 - 15)h= X=-2a0< ao ao>< a02>(15)表达式(10)和(14)给出了Oq的泰勒展开式的前两项,并且它们仅涉及样本矩偏差m1-It等中的项,人口参数为0。可以以类似的方式找到03和更高术语的表达。因此,对于(D),我们用&lt; A(aIam)&gt;对(13)进行运算,用M代替A,用It代替m。hl(h 3 -3 < MW>3+/I 2 2 < __>2 M a);
2!(D=~ f 2(14) 2! 2= h3<> 2+ h2 Of--&>< M T>(4 in which, after differentiating (3) twice h (-)= 2 (1a2-_ (15) h= X=-2a0< ao ao>< a02>(15 The expressions (10) and (14) give the first two terms of the Taylor expansion for Oq, and they involve only terms in the sample moment deviations ml-It, etc., and the population parameter 0. Expressions for 03 and higher terms may be found in a similar way. Thus for (D we operate on (13) with< A (aIam)>, replace A by M and m by It. We thus arrive at the following expressions:3! hl (h3-3< MW> 3+/I2<\W> 2< __ 6 3< __> 2 2M a}>;\16a