(1) Stockholm Environment Institute, Latin America Centre, Bogota, Colombia. (2) Faculty of Engineering and Sciences, Universidad Adolfo Ibanez, Santiago, Chile. (3) Department of Hydraulics and ...

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Introduction: This article introduces a new family of weighted mixture distributions, referred to as θ-WM. The θ-WM family is generated by combining two distributions weighted by a parameter θ, ...

Abstract: A longstanding problem in statistics pertains to the estimation of probability density functions of continuous random variables from a finite set of their samples. In this paper, we propose ...

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 ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Kernel density estimation (KDE) is a non-parametric method to estimate the probability density function of a random variable by taking the summation of kernel functions centered on each data point.

Department of Tropical Forestry, National University of Agriculture, Porto Novo, Republic of Benin. As a result, of this oversight, the purpose of this study was to investigate and select the most ...