Determining the optimum number of increments in composite sampling

被引:0
|
作者
John E. Hathaway
G. Bruce Schaalje
Richard O. Gilbert
Brent A. Pulsipher
Brett D. Matzke
机构
[1] Pacific Northwest National Laboratory,
[2] Brigham Young University,undefined
来源
Environmental and Ecological Statistics | 2008年 / 15卷
关键词
Blending; Mixing; Multi-increment; Sample Size;
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摘要
Composite sampling can be more cost effective than simple random sampling. This paper considers how to determine the optimum number of increments to use in composite sampling. Composite sampling terminology and theory are outlined and a method is developed which accounts for different sources of variation in compositing and data analysis. This method is used to define and understand the process of determining the optimum number of increments that should be used in forming a composite. The blending variance is shown to have a smaller range of possible values than previously reported when estimating the number of increments in a composite sample. Accounting for differing levels of the blending variance significantly affects the estimated number of increments.
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页码:313 / 327
页数:14
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