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Bayesian power-law regression with a location parameter, with applications for construction of discharge rating curves

机译:带位置参数的贝叶斯幂律回归,及其在构建放电额定曲线上的应用

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摘要

This paper presents a Bayesian approach for fitting the standard power-law rating curve model to a set of stage-discharge measurements. Methods for eliciting both regional and at-site prior information, and issues concerning the determination of prior forms, are discussed. An efficient MCMC algorithm for the specific problem is derived. The appropriateness of the proposed method is demonstrated by applying the model to both simulated and real-life data. However, some problems came to light in the applications, and these are discussed.
机译:本文提出了一种贝叶斯方法,用于将标准功率定律额定曲线模型拟合到一组阶段放电测量中。讨论了获取区域和现场先验信息的方法,以及有关先验形式确定的问题。导出了针对特定问题的有效MCMC算法。通过将该模型应用于模拟数据和实际数据,证明了该方法的适当性。但是,在应用程序中发现了一些问题,并对这些问题进行了讨论。

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