Selection of the best probability models for daily annual maximum rainfalls in Egypt

Evaluation of climate change, urbanization, and low-impact development practices on urban flooding

“…To estimate the required quantiles and intensity of rainfall at the T-year return period, different probability distribution methods were first compared using statistical goodness-of-fit tests such as Kolmogorov-Smirnov, Anderson-Darling, and Chi-Square [ 42 , 43 ]. The Generalized Pareto is the best-fitted distribution method for Robe’s rainfall data and is used to calculate T-year rainfall depth (PT), which is the return period shown in Eq.…”

A new alpha logarithmic-generated class to model precipitation data with theory and inference

“…The advantages of employing multiple probability distributions to describe daily rainfall may be better understood by looking at changes in precipitation patterns that occur in different locations of the globe, which can give a helpful insight into those benefits. Extensive research on this subject has been conducted by a community of scientists from all over the world in locations such as Bangladesh (Alam et al [ 1 ]), Ethiopia (Liyew and Melese [ 2 ]), Costa Rica (Altman et al [ 3 ]), Nagpur (India) (Mohanty et al [ 4 ]), China (Chen et al [ 5 ]), Pakistan (Yonus et al [ 6 ]), Europe (Wouters et al [ 7 ]), Colombia (Correa et al [ 8 ]), Saudi Arabia (Hasanean and Almazroui [ 9 ]), Brazil (Beskow et al [ 10 ]), Pakistan (Amin et al [ 11 ]), Egypt (Gado et al [ 12 ]), and many others.…”

Tropically Adapted Passive Building: A Descriptive-Analytical Approach Using Multiple Linear Regression and Probability Models to Predict Indoor Temperature

“…A similar study was conducted to evaluate the chemical parameters of groundwater using six probability distributions, such as normal, log-normal, gamma, Weibull, logistic, and log-logistic distributions [33]. The following studies can be referred to for more probability distribution modeling works [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52].…”