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Classification by Estimating the Cumulative Distribution Function for Small Data [PDF]

open access: yesIEEE 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
doaj   +4 more sources

Approximations for the inverse cumulative distribution function of the gamma distribution used in wireless communication [PDF]

open access: yesHeliyon, 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
doaj   +4 more sources

ON THE CUMULATIVE DISTRIBUTION FUNCTION OF THE VARIANCE-GAMMA DISTRIBUTION [PDF]

open access: yesBulletin of the Australian Mathematical Society, 2023
We obtain exact formulas for the cumulative distribution function of the variance-gamma distribution, as infinite series involving the modified Bessel function of the second kind and the modified Lommel function of the first kind. From these formulas, we
Robert E. Gaunt
semanticscholar   +5 more sources

Calibration Estimation of Cumulative Distribution Function Using Robust Measures

open access: yesSymmetry, 2023
Outliers are observations that are significantly different from the other observations in a dataset. These types of observations are asymmetric in nature due to a lack of symmetry.
Usman Shahzad   +2 more
exaly   +2 more sources

Error-controlled algorithm for the cumulative distribution function of doubly non-central F distribution [PDF]

open access: yesHeliyon
The 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
doaj   +2 more sources

Construction of Fuzzy Numbers via Cumulative Distribution Function

open access: yesMathematics, 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
doaj   +3 more sources

Wind Turbine Power Curves Based on the Weibull Cumulative Distribution Function

open access: yesApplied Sciences, 2018
The representation of a wind turbine power curve by means of the cumulative distribution function of a Weibull distribution is investigated in this paper, after having observed the similarity between such a function and real WT power curves. The behavior
Neeraj Bokde   +2 more
doaj   +2 more sources

An Efficient and Effective Image Decolorization Algorithm Based on Cumulative Distribution Function [PDF]

open access: yesJournal of Imaging
Image 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
doaj   +2 more sources

Classification of images using Gaussian copula model in empirical cumulative distribution function space. [PDF]

open access: yesPLoS ONE
This 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
doaj   +2 more sources

On the beta cumulative distribution function

open access: yesApplied Mathematical Sciences, 2018
Many authors have suggested different approximations for the cumulative distribution function of the beta distribution based on numerical calculations by computers. Such approximations require long and hard processes to be achieved.
Khaled M. Aludaat
semanticscholar   +2 more sources

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