The Experts below are selected from a list of 23193 Experts worldwide ranked by ideXlab platform
Kamsing Nonlaopon - One of the best experts on this subject based on the ideXlab platform.
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on the convolution equation related to the diamond klein gordon operator
Abstract and Applied Analysis, 2011Co-Authors: Amphon Liangprom, Kamsing NonlaoponAbstract:We study the Distribution
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on the convolution equation related to the klein gordon operator
International journal of pure and applied mathematics, 2011Co-Authors: Amphon Liangprom, Kamsing NonlaoponAbstract:In this paper, we study the Distribution ex (� + m 2 ) k �, where (� + m 2 ) k is the Klein-Gordon operator iterated k times defined by (1.14), k is a non-negative integer, � is the Dirac-delta Distribution, m is a non-negative real number, x = (x1,x2,...,xn) is a variable and � = (�1,�2,...,�n) is a constant and both are the points in the n-dimensional Euclidean spaces R n . At first, the properties of ex (�+m 2 ) kare studied and after that we study the application of ex (� + m 2 ) kfor solving the solution of the convolution equation ex (� + m 2 ) k � � u(x) = ex M X r=0 Cr(� + m 2 ) r �, where u(x) is the generalized function and Cr is a constant. It found that the type of solutions of this convolution equation, such as the ordinary function and the Singular Distribution depend on the relationship between the values of k and M.
Amphon Liangprom - One of the best experts on this subject based on the ideXlab platform.
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on the convolution equation related to the diamond klein gordon operator
Abstract and Applied Analysis, 2011Co-Authors: Amphon Liangprom, Kamsing NonlaoponAbstract:We study the Distribution
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on the convolution equation related to the klein gordon operator
International journal of pure and applied mathematics, 2011Co-Authors: Amphon Liangprom, Kamsing NonlaoponAbstract:In this paper, we study the Distribution ex (� + m 2 ) k �, where (� + m 2 ) k is the Klein-Gordon operator iterated k times defined by (1.14), k is a non-negative integer, � is the Dirac-delta Distribution, m is a non-negative real number, x = (x1,x2,...,xn) is a variable and � = (�1,�2,...,�n) is a constant and both are the points in the n-dimensional Euclidean spaces R n . At first, the properties of ex (�+m 2 ) kare studied and after that we study the application of ex (� + m 2 ) kfor solving the solution of the convolution equation ex (� + m 2 ) k � � u(x) = ex M X r=0 Cr(� + m 2 ) r �, where u(x) is the generalized function and Cr is a constant. It found that the type of solutions of this convolution equation, such as the ordinary function and the Singular Distribution depend on the relationship between the values of k and M.
Kundudebasis - One of the best experts on this subject based on the ideXlab platform.
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Bayes estimation for the Marshall-Olkin bivariate Weibull Distribution
Computational Statistics & Data Analysis, 2013Co-Authors: Kundudebasis, K GuptaarjunAbstract:In this paper, we consider the Bayesian analysis of the Marshall-Olkin bivariate Weibull Distribution. It is a Singular Distribution whose marginals are Weibull Distributions. This is a generalizat...
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Estimating the parameters of the Marshall-Olkin bivariate Weibull Distribution by EM algorithm
Computational Statistics & Data Analysis, 2009Co-Authors: Kundudebasis, Deyarabin KumarAbstract:In this paper we consider the Marshall-Olkin bivariate Weibull Distribution. The Marshall-Olkin bivariate Weibull Distribution is a Singular Distribution, whose both the marginals are univariate We...
Deyarabin Kumar - One of the best experts on this subject based on the ideXlab platform.
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Estimating the parameters of the Marshall-Olkin bivariate Weibull Distribution by EM algorithm
Computational Statistics & Data Analysis, 2009Co-Authors: Kundudebasis, Deyarabin KumarAbstract:In this paper we consider the Marshall-Olkin bivariate Weibull Distribution. The Marshall-Olkin bivariate Weibull Distribution is a Singular Distribution, whose both the marginals are univariate We...
K Guptaarjun - One of the best experts on this subject based on the ideXlab platform.
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Bayes estimation for the Marshall-Olkin bivariate Weibull Distribution
Computational Statistics & Data Analysis, 2013Co-Authors: Kundudebasis, K GuptaarjunAbstract:In this paper, we consider the Bayesian analysis of the Marshall-Olkin bivariate Weibull Distribution. It is a Singular Distribution whose marginals are Weibull Distributions. This is a generalizat...