Generalized Confidence Intervals and Fiducial Intervals for Some Epidemiological Measures [PDF]
International Journal of Environmental Research and Public Health, 2016 For binary outcome data from epidemiological studies, this article investigates the interval estimation of several measures of interest in the absence or presence of categorical covariates. When covariates are present, the logistic regression model as well as the log-binomial model are investigated. The measures considered include the common odds ratio
George Luta, Ionut Bebu, Brian K. Agan
exaly +5 more sources
Generalized Fiducial Inference for the Generalized Rayleigh Distribution
Modelling, 2023 This article focuses on the interval estimation of the generalized Rayleigh distribution with scale and shape parameters. The generalized fiducial method is used to construct the fiducial point estimators as well as the fiducial confidence intervals, and
Xuan Zhu, Weizhong Tian, Chengliang Tian
doaj +4 more sources
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
doaj +4 more sources
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
doaj +4 more sources
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
doaj +3 more sources
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
doaj +3 more sources
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
doaj +4 more sources
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
doaj +2 more sources
PLoS ONE, 2022 Rainfall fluctuation is directly affected by the Earth's climate change. It can be described using the coefficient of variation (CV). Similarly, the ratio of CVs can be used to compare the rainfall variation between two regions. The ratio of CVs has been
Noppadon Yosboonruang +2 more
doaj +2 more sources
The Bayesian confidence intervals for measuring the difference between dispersions of rainfall in Thailand [PDF]
PeerJ, 2020 The coefficient of variation is often used to illustrate the variability of precipitation. Moreover, the difference of two independent coefficients of variation can describe the dissimilarity of rainfall from two areas or times.
Noppadon Yosboonruang +2 more
doaj +2 more sources