Approximations for the inverse cumulative distribution function of the gamma distribution used in wireless communication [PDF]
Heliyon, 2020 The use of quantile functions of probability distributions whose cumulative distribution is intractable is often limited in Monte Carlo simulation, modeling, and random number generation.
Hilary Okagbue +2 more
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Error-controlled algorithm for the cumulative distribution function of doubly non-central F distribution [PDF]
HeliyonThe doubly non-central F distribution is a widely applied probability distribution. The cumulative distribution function (CDF) of the doubly non-central F distribution can be expressed using the infinite doubly series.
Linxuan Fang, Han Li, Yinhua Tian
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An Efficient and Effective Image Decolorization Algorithm Based on Cumulative Distribution Function [PDF]
Journal of ImagingImage decolorization is an image pre-processing step which is widely used in image analysis, computer vision, and printing applications. The most commonly used methods give each color channel (e.g., the R component in RGB format, or the Y component of an
Tirui Wu +3 more
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Classification of images using Gaussian copula model in empirical cumulative distribution function space. [PDF]
PLoS ONEThis study introduces an innovative approach to image classification that uses Gaussian copulas with an Empirical Cumulative Distribution Function (ECDF) approach. The strategic use of distribution functions as feature descriptors simplifies the approach
Sapto Wahyu Indratno +2 more
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Estimating Cumulative Distribution Function Using Gamma Kernel [PDF]
Journal of Sciences, Islamic Republic of Iran, 2022 In this article, we propose the gamma kernel estimator for the cumulative distribution functions with nonnegative support. We derive the asymptotic bias and variance of the proposed estimator in both boundary and interior regions and show that it is free
Behzad Mansouri +3 more
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Beta Kernel Estimator for a Cumulative Distribution Function with Bounded Support [PDF]
Journal of Sciences, Islamic Republic of Iran, 2023 Kernel estimation of the cumulative distribution function (CDF), when the support of the data is bounded, suffers from bias at the boundaries. To solve this problem, we introduce a new estimator for the CDF with support (0,1) based on the beta kernel ...
Behzad Mansouri +2 more
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Lead and zinc concentration in genetic horizons of Terra rossa soil at a local scale. How these concentrations differ? [PDF]
Journal of Central European Agriculture, 2020 The goals of this study were to (i) determine the concentration of the Pb and Zn in Terra rossa soil, (ii) reveal its origin and (iii) establish how the concentration of these elements between genetic horizons differ.
Boško Miloš, Aleksandra Bensa
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Construction of Fuzzy Numbers via Cumulative Distribution Function
Mathematics, 2022 The first person to introduce possibility theory was Lotfi A. Zadeh, in 1977. It was, of course, of no coincidence that he directly combined it with the theory of fuzzy sets.
Georgios Souliotis +2 more
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Classification by Estimating the Cumulative Distribution Function for Small Data
IEEE Access, 2023 In this paper, we study the classification problem by estimating the conditional probability function of the given data. Different from the traditional expected risk estimation theory on empirical data, we calculate the probability via Fredholm equation,
Meng-Xian Zhu, Yuan-Hai Shao
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Fundamentals of Neutrosophical Simulation for Generating Random Numbers Associated with Uniform Probability Distribution [PDF]
Neutrosophic Sets and Systems, 2022 The simulation process depends on generating a series of random numbers subject to the uniform probability distribution in the interval [0, 1]. The generation of these numbers is starting from the cumulative distribution function of the uniform ...
Maissam Jdid +2 more
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