symmetric error structure in stochastic dea

Symmetric Error Structure in Stochastic DEA

Stochastic DEA with Using of Skew-Normal Distribution in Error Structure

The stochastic data envelopment analysis (SDEA) was developed considering the value ofinputs and outputs as random variables. Therefore, statistical distributions play an importantrole in this regard. The skew-normal (SN) distribution is a family of probability densityfunctions that is frequently used in practical situations. In this paper, we assume that the inputand output variables are skew-...

Stochastic Screen Design using Symmetric Error Compensation

Stochastic screen halftoning combines the speed of ordered dither and high quality of error diiusion. The general approach to stochastic screen design employs either spatial domain or frequency domain ltering to generate binary patterns with \blue noise" characteristic at each gray level, which can be summed to form a single threshold array. In this paper, we will propose a novel technique to d...

Ridge Stochastic Restricted Estimators in Semiparametric Linear Measurement Error Models

In this article we consider the stochastic restricted ridge estimation in semipara-metric linear models when the covariates are measured with additive errors. The development of penalized corrected likelihood method in such model is the basis for derivation of ridge estimates. The asymptotic normality of the resulting estimates are established. Also, necessary and sufficient condition...

Some results on the symmetric doubly stochastic inverse eigenvalue problem

‎The symmetric doubly stochastic inverse eigenvalue problem (hereafter SDIEP) is to determine the necessary and sufficient conditions for an $n$-tuple $sigma=(1,lambda_{2},lambda_{3},ldots,lambda_{n})in mathbb{R}^{n}$ with $|lambda_{i}|leq 1,~i=1,2,ldots,n$‎, ‎to be the spectrum of an $ntimes n$ symmetric doubly stochastic matrix $A$‎. ‎If there exists an $ntimes n$ symmetric doubly stochastic ...

Symmetric Stochastic Petri Nets

The stochastic Petri net (SPN) model is well suited to formal representation of concurrency, synchronization, and communication. In this paper we focus on discrete event simulation methods for SPN models with special structure and define a symmetric SPN. Exploiting properties of a symmetric SPN and underlying regenerative process structure, we establish steady state estimation procedures based ...