Confidence intervals for the difference between the coefficients of variation of Weibull distributions for analyzing wind speed dispersion [PDF]
PeerJ, 2021 Wind energy is an important renewable energy source for generating electricity that has the potential to replace fossil fuels. Herein, we propose confidence intervals for the difference between the coefficients of variation of Weibull distributions ...
Manussaya La-ongkaew +2 more
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Bayesian computation for the common coefficient of variation of delta-lognormal distributions with application to common rainfall dispersion in Thailand [PDF]
PeerJ, 2022 Rainfall fluctuation makes precipitation and flood prediction difficult. The coefficient of variation can be used to measure rainfall dispersion to produce information for predicting future rainfall, thereby mitigating future disasters.
Noppadon Yosboonruang +2 more
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Estimation of common percentile of rainfall datasets in Thailand using delta-lognormal distributions [PDF]
PeerJ, 2022 Weighted percentiles in many areas can be used to investigate the overall trend in a particular context. In this article, the confidence intervals for the common percentile are constructed to estimate rainfall in Thailand. The confidence interval for the
Warisa Thangjai +2 more
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Estimating average wind speed in Thailand using confidence intervals for common mean of several Weibull distributions [PDF]
PeerJ, 2023 The Weibull distribution has been used to analyze data from many fields, including engineering, survival and lifetime analysis, and weather forecasting, particularly wind speed data.
Manussaya La-ongkaew +2 more
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Simultaneous confidence intervals for all pairwise differences between the coefficients of variation of rainfall series in Thailand [PDF]
PeerJ, 2021 The delta-lognormal distribution is a combination of binomial and lognormal distributions, and so rainfall series that include zero and positive values conform to this distribution. The coefficient of variation is a good tool for measuring the dispersion
Noppadon Yosboonruang +2 more
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Confidence interval estimation of the common mean of several gamma populations
PLoS ONE, 2022 Gamma distributions are widely used in applied fields due to its flexibility of accommodating right-skewed data. Although inference methods for a single gamma mean have been well studied, research on the common mean of several gamma populations are ...
Li Yan
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Confidence Intervals Based on the Difference of Medians for Independent Log-Normal Distributions
Mathematics, 2022 In this paper, we study the inferences of the difference of medians for two independent log-normal distributions. These methods include traditional methods such as the parametric bootstrap approach, the normal approximation approach, the method of ...
Weizhong Tian +2 more
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Confidence intervals for ratio of means of delta-lognormal distributions based on left-censored data with application to rainfall data in Thailand [PDF]
PeerJ, 2023 Thailand is a country that is prone to both floods and droughts, and these natural disasters have significant impacts on the country’s people, economy, and environment. Estimating rainfall is an important part of flood and drought prevention.
Warisa Thangjai, Sa-Aat Niwitpong
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Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models [PDF]
, 2021 Global sensitivity analysis aims at quantifying the impact of input variability onto the variation of the response of a computational model. It has been widely applied to deterministic simulators, for which a set of input parameters has a unique ...
Sudret, B., Zhu, X.
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A Bayesian approach to construct confidence intervals for comparing the rainfall dispersion in Thailand [PDF]
PeerJ, 2020 Natural disasters such as drought and flooding are the consequence of severe rainfall fluctuation, and rainfall amount data often contain both zero and positive observations, thus making them fit a delta-lognormal distribution.
Patcharee Maneerat +2 more
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