ABSTRACT: Heavy rains and floods are long considered critical societal concerns due to adverse effects on society, environment, and economies. The best appropriate identification for rainfall ...

A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

When dealing with any type of dataset it is important to create a probabilistic model of the data which would help to understand the dataset. The probabilistic model uses probability distribution ...

Abstract: The paper deals with a new approach for probability distribution fitting for empirical data with small sample size. The proposed method includes three steps: 1) outliers detection and ...

Not long ago (2017 and 2018), in a land far, far away (One World Trade Center, New York City), the Golf Digest office had a putting green smack in the middle of the 27th floor of the Freedom Tower.

Abstract: The paper deals with a new approach for probability distribution fitting for empirical data with small sample size. The proposed method includes three steps: 1) outliers detection and ...

ABSTRACT: In this paper, an analysis of adapted 20 extreme precipitation indices is calculated for a limited mountain area in southern Vietnam. The daily precipitation data from four stations in the ...