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Simple Latin square sampling ±k designs
被引:6
|作者:
Borkowski, JJ
[1
]
机构:
[1] Montana State Univ, Dept Math Sci, Bozeman, MT 59717 USA
关键词:
Horvitz-Thompson estimators;
Latin square sampling;
simple random sampling;
stratified sampling;
systematic sampling;
D O I:
10.1081/STA-120017808
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:
If spatial correlation is present, sampling designs which ensure the sample is well-distributed over the study region will, in general, improve estimation of population abundance relative to designs that do not. Simple latin square sampling +/-k designs, a new class of probability sampling designs that were developed for this situation, will be presented. When the goal is estimation of the population. total or mean, these designs when compared to simple random, stratified, and systematic sampling will, in general, provide estimators with smaller variance when spatial correlation is present.
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页码:215 / 237
页数:23
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