Evaluating water quality using power priors to incorporate historical information
Evaluating water quality using power priors to incorporate historical information
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DOI：
10.1002/env.752
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发表时间：
2006-02-01
期刊：
影响因子：
1.7
通讯作者：
Smith, EP
中科院分区：
文献类型：
--
作者：
Duan, YY;Ye, KY;Smith, EP
为了评估水质标准，在一段时间内定期收集《清洁水法》规定的水质测量结果。对数据进行分析，以评估超过标准的样品的百分比。一个问题是，目前的数据是有限的时间范围，因此样本量是不够的，以提供必要的精度参数估计。为了解决这个问题，我们提出了一个贝叶斯方法，使用功率之前，将历史数据和/或在相邻的站收集的数据。本文提出了一种改进的幂先验方法，并讨论了它在正态均值模型下的性质。几组水质数据进行了研究，以说明实施的权力之前的方法和它的区别，从替代方法。版权所有（c）2005年约翰威利父子有限公司。
To assess Water quality standards, measurements of water quality under the Clean Water Act are collected on a regular basis over a period of time. The data are analyzed to evaluate the percentage of samples exceeding the standard. One problem is that current data are limited by the time range and consequently the sample size is inadequate to provide necessary precision in parameter estimation. To address this issue, we present a Bayesian approach using a power prior to incorporate historical data and/or the data collected at adjacent stations. We develop a modified power prior approach and discuss its properties under the normal mean model. Several sets of water quality data are studied to illustrate the implementation of the power prior approach and its differences from alternative methods. Copyright (c) 2005 John Wiley & Sons, Ltd.