Results 211 to 220 of about 3,046,845 (266)
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CONDITIONAL ORDERING OF GENERALIZED ORDER STATISTICS REVISITED
Probability in the Engineering and Informational Sciences, 2008In this article we investigate less restrictive conditions on the model parameters that enable one to establish the likelihood ratio ordering of one generalized order statistic by conditioning on the right tail of another lower-indexed generalized order statistic. One application of the main results is also presented.
Xie, Hongmei, Hu, Taizhong
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ORDERING CONDITIONAL DISTRIBUTIONS OF GENERALIZED ORDER STATISTICS
Probability in the Engineering and Informational Sciences, 2007The concept of generalized order statistics was introduced as a unified approach to a variety of models of ordered random variables. The purpose of this article is to establish the usual stochastic and the likelihood ratio orderings of conditional distributions of generalized order statistics from one sample or two samples, strengthening and ...
Taizhong Hu, Wei Jin, Baha-Eldin Khaledi
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First-Order and Second-Order Conditions for Error Bounds
SIAM Journal on Optimization, 2004Summary: For a lower semicontinuous function \(f\) on a Banach space \(X\), we study the existence of a positive scalar \(\mu\) such that the distance function \(d_{S}\) associated with the solution set \(S\) of \(f(x)\leq 0\) satisfies \[ d_S(x)\leq \mu \max\{ f(x),0\} \] for each point \(x\) in a neighborhood of some point \(x_{0}\) in \(X\) with \(f(
Wu, Zili, Ye, Jane J.
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Conditional ordering extensions
Economic Theory, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Second order optimality conditions
Journal of Discrete Mathematical Sciences and Cryptography, 2000Abstract The aim of the paper is to establish some new second order optimality conditions by means of suitable second order tangent sets.
MARTEIN, LAURA, A. CAMBINI
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1995
For a thin dielectric layer, second order transition conditions were developed by Weinstein (1969) and used (Leppington, 1983) to determine the field diffracted by an abrupt change in layer thickness. Since then there have been numerous applications of second (and higher) order boundary conditions in electromagnetics, but some of the solutions are ...
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For a thin dielectric layer, second order transition conditions were developed by Weinstein (1969) and used (Leppington, 1983) to determine the field diffracted by an abrupt change in layer thickness. Since then there have been numerous applications of second (and higher) order boundary conditions in electromagnetics, but some of the solutions are ...
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1995
By increasing the order of the boundary condition it is possible to improve the accuracy with which the surface properties are simulated, but the penalty is an increase in the complication of an analytical or numerical solution of the problem. This chapter addresses the problem of choosing the appropriate form of these higher order conditions thus ...
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By increasing the order of the boundary condition it is possible to improve the accuracy with which the surface properties are simulated, but the penalty is an increase in the complication of an analytical or numerical solution of the problem. This chapter addresses the problem of choosing the appropriate form of these higher order conditions thus ...
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1995
The authors consider only time harmonic electromagnetic fields with a time dependence specified by the factor ejωt which is omitted. In a stationary, linear, isotropic, homogeneous medium which is free of sources, the field is described by Maxwell's equations.
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The authors consider only time harmonic electromagnetic fields with a time dependence specified by the factor ejωt which is omitted. In a stationary, linear, isotropic, homogeneous medium which is free of sources, the field is described by Maxwell's equations.
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High-Order Nonreflecting Boundary Conditions without High-Order Derivatives
Journal of Computational Physics, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Uniform conditional stochastic order
Journal of Applied Probability, 1980One probability measure is less than or equal to another in the sense of UCSO (uniform conditional stochastic order) if a standard form of stochastic order holds for each pair of conditional probability measures obtained by conditioning on appropriate subsets.
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