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Estimating Cumulative Distribution Function Using Gamma Kernel [PDF]
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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Virtual reality technology has been widely used in the field of nuclear and radiation safety, dose rate computing in virtual environment is essential for optimizing radiation protection and planning the work in radioactive-controlled area.
Zhihui Xu +3 more
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Kernel Inference on the Generalized Gamma Distribution Based on Generalized Order Statistics [PDF]
The kernel approach has been applied using the adaptive kernel density estimation, to inference on the generalized gamma distribution parameters, based on the generalized order statistics (GOS). For measuring the performance of this approach comparing to
M. Ahsanullah, M. Maswadah, Ali M. Seham
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Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking [PDF]
Target tracking in typical radar applications faces critical challenges in complex environments, including nonlinear dynamics, non-Gaussian noise, and sensor outliers.
Yu Ma +3 more
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A Study of Seven Asymmetric Kernels for the Estimation of Cumulative Distribution Functions
In this paper, we complement a study recently conducted in a paper of H.A. Mombeni, B. Masouri and M.R. Akhoond by introducing five new asymmetric kernel c.d.f.
Pierre Lafaye de Micheaux +1 more
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Compositions and microbial properties of gamma irradiated apricot (Prunus armeniaca L.) kernel [PDF]
Background: Gamma radiation is used to disinfestations and decontamination of dried food. Methods: The current study evaluates the outcome of gamma irradiation doses (0, 6 and 9 kGy) on chemical compositions and microbial load of apricot kernel during ...
Mahfouz Al-Bachir
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The Gaussian process (GP) has gained much attention in cosmology due to its ability to reconstruct cosmological data in a model-independent manner. In this study, we compare two methods for GP kernel selection: approximate Bayesian computation (ABC ...
Hao Zhang +3 more
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Infinite Product Representation for the Szegö Kernel for an Annulus
The Szegö kernel has many applications to problems in conformal mapping and satisfies the Kerzman-Stein integral equation. The Szegö kernel for an annulus can be expressed as a bilateral series and has a unique zero.
Nuraddeen S. Gafai +2 more
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Generalized Matrix t Distribution Based on New Matrix Gamma Distribution
In this paper a generalized matrix variate gamma distribution, which includes a trace function in the kernel of the density, is introduced. Some important statistical properties including Laplace transform, distributions of functions, expected value of ...
Anis Iranmanesh +3 more
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Gamma Kernel Estimation of the Density Derivative on the Positive Semi-Axis by Dependent Data
We estimate the derivative of a probability density function defined on [0,∞). For this purpose, we choose the class of kernel estimators with asymmetric gamma kernel functions.
L.A. Markovich
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