STATISTICAL PREDICTION INTERVALS FOR THE EVALUATION OF GROUNDWATER QUALITY

被引:17
作者
GIBBONS, RD
机构
[1] University of Illinois, Biometric Laboratory, Illinois State Psychiatric Institute, Chicago, IL 60612, United States
关键词
ENVIRONMENTAL IMPACT - STATISTICAL METHODS - Applications - WATER RESOURCES - Groundwater - WATER; UNDERGROUND; -; Sampling;
D O I
10.1111/j.1745-6584.1987.tb02150.x
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Factors for a normal distribution are given such that one may be 99% confident that the two-sided prediction interval x OVER BAR plus or minus rs or the one-sided prediction interval x OVER BAR plus rs will contain all of the k future values, where x OVER BAR and s are the sample mean and standard deviation obtained from n previous values. In the context of ground-water monitoring, the future samples may represent new monitoring values at each of k downgradient wells, and the n previous values might be the historical monitoring results for one or more upgradient wells. The Tables provided in this paper allow the computation of one-sided and two-sided 99% prediction intervals for previous sample sizes of n equals 4 to 100 and future samples of k equals 1 to 100. Modification of these intervals for log-normally distributed data is also presented.
引用
收藏
页码:455 / 465
页数:11
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