Consistency in systematic sampling

被引:6
作者
Arnau, XG [1 ]
CruzOrive, LM [1 ]
机构
[1] UNIV CANTABRIA,DEPT MATEMAT ESTADISTICA & COMPUTAC,E-39005 SANTANDER,SPAIN
关键词
consistency; design based inference; lattice retract; model based inference; stereology; systematic sampling; test system; unbiasedness;
D O I
10.2307/1428160
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
In design-based stereology, fixed parameters (such as volume, surface area, curve length, feature number, connectivity) of a non-random geometrical object are estimated by intersecting the object with randomly located and oriented geometrical probes (e.g. test slabs, planes, lines, points). Estimation accuracy may in principle be increased by increasing the number of probes, which are usually laid in a systematic pattern. An important prerequisite to increase accuracy, however, is that the relevant estimators are unbiased and consistent. The purpose of this paper is therefore to give sufficient conditions for the unbiasedness and strong consistency of design-based stereological estimators obtained by systematic sampling. Relevant mechanisms to increase sample size, compatible with stereological practice, are considered.
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页码:982 / 992
页数:11
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