in models of data envelopment analysis (dea), an optimal set of input and output weights is generally as-sumed to represent the assessed decision making unit (dmu) in the best light in comparison to all the other dmus. these sets of weights are, typically, different for each of the participating dmus. thus, it is important to find a common set of weights (csw) across the set of dmus. in this pa...

‎a common approach to determine efficient solutions of a multiple objective optimization problem‎ ‎is reformulating it to a parameter dependent scalar optimization problem‎. ‎this reformulation is called scalarization approach‎. here, a well-known scalarization approach named pascoletti-serafini scalarization is considered‎. first, some difficulties of this scalarization are discussed and then ...

We show how Anderson’s Stereotype regression model can be extended to account for correlated responses by a simple nonlinear parameter restriction on the multinomial logistic model with random effects. We comment on parameter estimation and use a data set on physicians’ recommendations and preferences in traumatic brain injury rehabilitation for illustration. Copyright c © 2004 John Wiley & Son...

Let K and L be compact convex sets in Rn. The following two statements are shown to be equivalent: (i) For every polytope Q ⊆ K having at most n+ 1 vertices, L contains a translate of Q. (ii) L contains a translate of K. Let 1 ≤ d ≤ n − 1. It is also shown that the following two statements are equivalent: (i) For every polytope Q ⊆ K having at most d+ 1 vertices, L contains a translate of Q. (i...

This paper studies the identifying power of conditional quantile restrictions in short panels with fixed effects. In contrast to classical fixed effects models with conditional mean restrictions, conditional quantile restrictions are not preserved by taking differences in the regression equation over time. This paper shows however that a conditional quantile restriction, in conjunction with a w...

‎A common approach to determine efficient solutions of a multiple objective optimization problem‎ ‎is reformulating it to a parameter dependent scalar optimization problem‎. ‎This reformulation is called scalarization approach‎. Here, a well-known scalarization approach named Pascoletti-Serafini scalarization is considered‎. First, some difficulties of this scalarization are discussed and then ...

The classes W [t] of the Downey-Fellows W hierarchy are defined, for each t, by fixed-parameter reductions to the weighted-assignment satisfiability problem for weft-t circuits. This paper proves that for each t ≥ 1, W [t] equals the closure under fixed-parameter reductions of the class of languages L definable by formulas of the form φ = (∃U)ψ, where U is a set variable and ψ is a first-order ...