Climate change has remarkable global impacts on hydrological systems, prompting the
need to attribute past changes for better future risk estimation and adaptation planning. This …

Rainfall fluctuation makes precipitation and flood prediction difficult. The coefficient of
variation can be used to measure rainfall dispersion to produce information for predicting …

The coefficient of variation (CV) is a useful statistical tool for measuring the relative variability
between multiple populations, while the ratio of CVs can be used to compare the dispersion …

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 …

The log-normal distribution is often used to analyze environmental data like daily rainfall
amounts. The rainfall is of interest in Thailand because high variable climates can lead to …

The coefficient of variation is widely used as a measure of data precision. Confidence
intervals for a single coefficient of variation when the data follow a normal distribution that is …

Log-normal distribution is used widely in application fields such as economics and finance.
This paper considers confidence interval estimates for common signal-to-noise ratio of log …

The Birnbaum–Saunders (BS) distribution, which is asymmetric with non-negative support,
can be transformed to a normal distribution, which is symmetric. Therefore, the BS …

In this article, we propose confidence intervals for the population coefficient of variation
based on some robust estimators such as trimmed mean, winsorized mean, Hodges …

The inverse Gaussian distribution is a two-parameter continuous probability distribution with
positive support, which is used to account for the asymmetry of the positively skewed data …