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In this talk, we consider a distributed interval optimization problem (DIOP) with uncertainties, whose global function is formed by local convex interval functions. In seeking Pareto solutions for dis...
Variable selection is often needed in many fields and has been discussed by many authors in various situations.
安徽师范大学数学计算机科学学院概率论与数理统计英文课件Chapter7 Confidential Interval Estimation。
昆明理工大学理学院概率论与数理统计课件Chapter 7 Estimation Problems--Interval Estimation.
安徽师范大学概率论与数理统计课件Chapter7 Confidential Interval Estimation。
Cramer–von Mises type goodness of fit tests for interval censored data case 2 are proposed based on a resampling method called the leveraged bootstrap,and their asymptotic consistency is shown.The pro...
Consider a piecewise smooth expanding map of the interval possessing several invariant subintervals and the same number of ergodic absolutely continuous invariant probability measures (ACIMs).
We work out the graph limit theory for dense interval graphs. The theory developed departs from the usual description of a graph limit as a symmetric function W(x; y) on the unit square, with x and y ...
1. Distributive law of primes: (x/㏒x)㏒e<π(x)≤(x/㏒x) ㏒11330/113, (11≤x<∞); 2. Shortest suitable interval, [11, 19]; 3. Expression of twin odd numbers, ︱2x-11,…,…,…,4x-27︱ ︱2x- 9,…,…,…,4x-25︱, Number of...
We introduce a family of Banach spaces of measures, each containing the set of measures with density of bounded variation. These spaces are suitable for the study of weighted transfer operators of pie...
Asymptotic expansion of smooth interval maps     Asymptotic expansion  smooth interval maps  Dynamical Systems       font style='font-size:12px;'> 2012/4/16
We show that several different ways to quantify the asymptotic expansion of a non-degenerate smooth interval map coincide. A consequence is an extension to multimodal maps of the remarkable result of ...
The matrix differential equation $x'(t) = Q(t)x(t), x(0) = x_0$ is considered in the case where $Q(t)$ is an unspecified matrix function of time, with the only constraint that $Q(t)\in \mset$ for ever...
This paper introduces an interval valued linear fractional programming problem (IVLFP). An IVLFP is a linear fractional programming problem with interval coefficients in the objective function. It is ...
Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision making units (DMUs) on the basis of multiple inputs and outputs. The context-dependent DEA...
Abstract: We consider several stochastic service systems, and study the asymptotic behavior of the moments of various quantities that have application to models for random interval graphs and algorith...

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