Results 11 to 20 of about 457,622 (321)

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, Sa-Aat Niwitpong, Suparat Niwitpong   +2 more
doaj   +2 more sources

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
doaj   +2 more sources

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, Sa-Aat Niwitpong, Suparat Niwitpong   +2 more
doaj   +2 more sources

Reliability inference and remaining useful life prediction for the doubly accelerated degradation model based on Wiener process

AIMS Mathematics, 2023
Degradation data are an important source of products' reliability information. Though stochastic degradation models have been widely used for fitting degradation data, there is a lack of efficient and accurate methods to get their confidence intervals ...
Peihua Jiang , Xilong Yang
doaj   +1 more source

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, Sa-Aat Niwitpong, Suparat Niwitpong   +2 more
doaj   +2 more sources

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
doaj   +1 more source

Generating confidence intervals on biological networks [PDF]

BMC Bioinformatics, 2007
In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interacting nodes. The structure of the network may introduce dependencies among the nodes and it will in general be necessary to account for these dependencies in the statistical analysis.
Thorne, T, Stumpf, MPH
openaire   +4 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, Sa-Aat Niwitpong, Suparat Niwitpong   +2 more
doaj   +2 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, Sa-Aat Niwitpong, Suparat Niwitpong   +2 more
doaj   +2 more sources

Estimation methods for the variance of Birnbaum-Saunders distribution containing zero values with application to wind speed data in Thailand [PDF]

PeerJ
Thailand 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, Sa-Aat Niwitpong, Suparat Niwitpong   +2 more
doaj   +2 more sources