Results 21 to 30 of about 417,268 (267)
DETERMINATION OF SHAPE PARAMETER IN RBF APPROXIMATION [PDF]
162
Karageorghis, Andreas +3 more
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Trigonometric Splines with Variable Shape Parameter
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Choubey, N., Ojha, A.
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On the Three-Parameter Weibull Distribution Shape Parameter Estimation [PDF]
The Weibull distribution has received much interest in reliability theory. The well-known maximum likelihood estimators (MLE) of this fam- ily are not available in closed form expression. In this work, we propose a consistent and closed form estimator for shape parameter of three-parameter Weibull distribution.
Mahdi Teimouri, Arjun K. Gupta
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Two-parameter Birnbaum-Saunders (BS) fatigue life distribution is an important failure model in the probability physical methods.It is more suitable for describing the life rules of fatigue failure products than common life distributions such as Weibull ...
WANG Ronghua, GU Beiqing, XU Xiaoling
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A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation
In this paper, we totally discard the traditional trial-and-error algorithms of choosing the acceptable shape parameter c in the multiquadrics −c2+∥x∥2 when dealing with differential equations, for example, the Poisson equation, with the RBF collocation ...
Lin-Tian Luh
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Port-Estimation of a Shape Second-Order Parameter
In this paper we study, under a semi-parametric framework and for heavy right tails, a class of location invariant estimators of a shape second-order parameter, ruling the rate of convergence of the normalised sequence of maximum values to a non ...
Lígia Henriques-Rodrigues +3 more
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Particle shape analysis of clay based on digital image technology
The macro-physical and mechanical properties of clay are closely related to its micro-particle shape. The typical soft clay in Tianjin Port area of China is taken as the research object, and its particle shape characteristics are analyzed and studied by ...
WANG Xue-kui 1, 2, LI Dong-jun 1, ZHU Yao-ting 1, ZHANG Jia-ying 1, YUAN Fang-long 1
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We propose a joint optimization algorithm that combines the optimal shape parameter–Gaussian radial basis function (G-RBF) surrogate model with global and local optimization techniques to improve accuracy and reduce costs.
Jian Sun, Ling Wang, Dianxuan Gong
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Lifetime Models with Nonconstant Shape Parameters
In its standard form, a lifetime regression model usually assumes that the time until an event occurs has a constant shape parameter and a scale parameter that is a function of covariates. In this paper we consider lifetime models with shape parameter dependent on a vector of covariates.
Josmar Mazucheli +2 more
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Curvature based characterization of radial basis functions: application to interpolation
Choosing the scale or shape parameter of radial basis functions (RBFs) is a well-documented but still an open problem in kernel-based methods. It is common to tune it according to the applications, and it plays a crucial role both for the accuracy and ...
Mohammad Heidari +2 more
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