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93.564  Articles
1 of 9.357 pages  |  10  records  |  more records»
The Hartman-Watson distribution arises in many areas of applied probability. But its probability density function is difficult to compute. Recently, [13] gave the first two terms of its asymptotic expansion. Here, we derive the probability density&nb... see more

The objective of this study is to model wind characteristics using twelve probability density functions: Weibull, Ralyeigh, Log-Logistics, Inverse Gaussian, Normal, Range, Extremely Generated, Extreme, Lognormal, Logistic, Burr and Rician. Four statistica... see more

The concept of “degree-day” is used to estimate the energy requirement and cost of cooling at a particular location at a specific period in a year. It is also used to quantify the duration and severity of hotness or coldness of a climate. The probability ... see more

Atomization involves mass, energy, and impulse transfer, in such a complex way that the overall process can only be described by empirical and semi-empirical correlations to date. The phenomenon of atomization is used in numerous applications, e.g., in co... see more

With the continuous accumulation of biological data, more and more machine learning algorithms have been introduced into the field of gene function prediction, which has great significance in decoding the secret of life. Recently, a multi-label supervised... see more

The determination of the probability distribution function (PDF) of uncertain input and model parameters in engineering application codes is an issue of importance for uncertainty quantification methods. One of the approaches that can be used for the PDF ... see more

This study investigates the runoff-sediment relationship (RSR) of the Weihe River, a sandy waterway originating from the Loess Plateau, and considers the potential variations in RSR under an evolving environment. The double mass curve method was used to i... see more

A theoretical method of estimating the most general form of probability density functions of random variables has been described. The estimated probability density function depends on themean value of exponential dimrbut~ono f the lnlt~arla ndom variable.... see more

The main goal of this paper is to study the asymptotic normality of the estimate of the Conditional Distribution Function of a scalar response variable Y given a hilbertian random variable X when the observations are the quasi-associated framework. Our ap... see more

1 of 9.357 pages  |  10  records  |  more records»