We examine the performance of measures of mobility when allowance is made for the possibility of data contamination. We find that 'single-stage' indices - those that are applied directly to a sample from a multivariate income distribution - usually prove to be non-robust in the face of...

This paper examines the single-commodity network design problem with stochastic edge capacities. We characterize the structures of the optimal designs and compare with the deterministic counterparts. We do this partly to understand what constitutes robust network designs, but also to construct a...

The Robust Network Loading Problem (RNL) can be stated as follows. Given a graph and a set of traffic matrices, install minimum cost integer capacities on the edges such that all the matrices can be routed non simultaneously on the network. The routing scheme is said to be dynamic if we can...

The past forty years or so has seen a remarkable transformation in macro-models used by central banks, policymakers and forecasting bodies.This papers describes this trans formation from reduced-form behavioural equations estimated separately, through to contemporary micro-founded dynamic...

This note addresses a problem of assigning human operators to operations in a manufacturing system. The problem involves a set of operations, a work load for each operation, and a set of human operators, each skilled at a subset of the operations. The task is to assign the operators to the...

Работа посвящена развитию простого и эффективного подхода к синтезу регуляторов, предложенного в 1999 г. О.Н. Киселевым и Б.Т. Поляком, и его исследованию...

Рассмотрена история развития теории автоматического управления в Институте проблем управления с момента его создания по настоящее время. Упоминаются...

This paper describes a threshold classification with <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$K$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mi>K</mi> </math> </EquationSource> </InlineEquation> populations whose membership category is associated with the threshold process of a latent variable. It is seen that the optimal procedure (Bayes procedure) for the classification involves a nonlinear classification rule and...</equationsource></equationsource></inlineequation>