Generalized Confidence Intervals for Zero-Inflated Pareto Distribution
Mathematics, 2021 This paper considers interval estimations for the mean of Pareto distribution with excess zeros. Three approaches for interval estimation are proposed based on fiducial generalized pivotal quantities (FGPQs), respectively.
Xiao Wang, Xinmin Li
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Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distribution [PDF]
PeerJ, 2022 Air pollution is a growing concern for the general public in Thailand with PM 2.5 (particulate matter ≤ 2.5 µm) having the greatest impact on health. The inverse Gaussian (IG) distribution is used for examining the frequency of high concentration events ...
Wasana Chankham +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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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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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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Statistical Inference of Wiener Constant-Stress Accelerated Degradation Model with Random Effects
Mathematics, 2022 In the field of reliability analysis, the constant-stress accelerated degradation test is one of the most commonly used methods to evaluate a product’s reliability as degradation data are provided. In this paper, a constant-stress accelerated degradation
Peihua Jiang
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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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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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Estimation of Stress-Strength Reliability for Multicomponent System with Rayleigh Data
Energies, 2021 Inference is investigated for a multicomponent stress-strength reliability (MSR) under Type-II censoring when the latent failure times follow two-parameter Rayleigh distribution. With a context that the lifetimes of the strength and stress variables have
Liang Wang +3 more
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Estimation methods for the variance of Birnbaum-Saunders distribution containing zero values with application to wind speed data in Thailand [PDF]
PeerJThailand is currently grappling with a severe problem of air pollution, especially from small particulate matter (PM), which poses considerable threats to public health.
Natchaya Ratasukharom +2 more
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