Probability Distributions in Groundwater Hydrology: Methods and ApplicationsSource: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 005Author:Hugo A. Loáiciga
DOI: 10.1061/(ASCE)HE.1943-5584.0001061Publisher: American Society of Civil Engineers
Abstract: This paper presents the most frequently used probability-density functions in groundwater hydrology and practical ways to apply them. The paper provides several examples of probability-density functions dealing with (1) their application to various types of groundwater phenomena, (2) the estimation of their parameters by the method of moments, and (3) the implementation of goodness-of-fit tests in probabilistic groundwater hydrology. The versatility of the log-gamma probability-density function to fit highly skewed groundwater data is demonstrated. Important univariate probability-density functions are covered, and the multivariate lognormal probability-density function’s applicability to goodness-of-fit testing and synthetic generation of random fields is elucidated.
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contributor author | Hugo A. Loáiciga | |
date accessioned | 2017-05-08T22:20:46Z | |
date available | 2017-05-08T22:20:46Z | |
date copyright | May 2015 | |
date issued | 2015 | |
identifier other | 42606909.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/78290 | |
description abstract | This paper presents the most frequently used probability-density functions in groundwater hydrology and practical ways to apply them. The paper provides several examples of probability-density functions dealing with (1) their application to various types of groundwater phenomena, (2) the estimation of their parameters by the method of moments, and (3) the implementation of goodness-of-fit tests in probabilistic groundwater hydrology. The versatility of the log-gamma probability-density function to fit highly skewed groundwater data is demonstrated. Important univariate probability-density functions are covered, and the multivariate lognormal probability-density function’s applicability to goodness-of-fit testing and synthetic generation of random fields is elucidated. | |
publisher | American Society of Civil Engineers | |
title | Probability Distributions in Groundwater Hydrology: Methods and Applications | |
type | Journal Paper | |
journal volume | 20 | |
journal issue | 5 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/(ASCE)HE.1943-5584.0001061 | |
tree | Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 005 | |
contenttype | Fulltext |