Optimal allocation in balanced sampling

被引：13
|
作者：
Tillé, Y
Favre, AC
机构：
[1] Inst Natl Rech Sci Eau Terre & Environm, Chaire Hydrol Stat, Quebec City, PQ G1K 9A9, Canada
[2] Univ Neuchatel, Grp Stat, CH-2002 Neuchatel, Switzerland
来源：
STATISTICS & PROBABILITY LETTERS | 2005年 / 74卷 / 01期
关键词：
balanced sampling; optimal inclusion probabilities; variance minimization; Neyman's allocation;
D O I：
10.1016/j.spl.2005.04.027
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：
The development of new sampling methods allows the selection of large balanced samples. In this paper we propose a method for computing optimal inclusion probabilities for balanced samples. Next, we show that the optimal Neyman allocation is a particular case of this method. (c) 2005 Elsevier B.V. All rights reserved.
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页码：31 / 37
页数：7
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