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Discrete-time survival data with time-varying covariates are often encountered in practice. One such example is bankruptcy studies where the status of each f...
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The <i>improved primal simplex</i> (IPS) method has been proposed by Elhallaoui et al. (2008). We rewrite the theory of IPS for a cold start with an initial ...
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One of the most important aspects of profiling health care providers or services is constructing a model that is flexible enough to allow for random variatio...
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This paper focuses on the use of different memory strategies to improve multistart methods. A network design problem in which the costs are given by discrete...
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This work studies multi-objective optimization <i>(MOP)</i> of nonsmooth functions subject to general constraints. We first present definitions and optimalit...
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We study a dynamic Cournot game with capacity accumulation under demand uncertainty, in which the investment is perfectly divisible, irreversible, and produc...
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In-house production or outsourcing are important strategic decisions for planning production and capacity in business organizations. Outsourcing to overseas ...
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A Public Disclosure Program (PDP) is compared to a traditional environmental regulation (exemplified by a tax/subsidy) in a simple dynamic framework. A PDP a...
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It is observed that mutations in the formulations of test problems over time are not infrequent. Ensuing problems are illustrated with examples from geometri...
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Finding maximum likelihood parameter values for Finite Mixture Model (FMM) is often done with the Expectation Maximization (EM) algorithm. However the choice...
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<p>The well-known method stochastic programming in extensive form is used on the large scale, partial equilibrium, technology rich global 15-region TIMES Int...
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We consider an inventory routing problem in discrete time where a supplier has to serve a set of customers over a time horizon. A capacity constraint for th...
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We study the convergence behavior of a randomized quasi-Monte Carlo (RQMC) method for the simulation of discrete-time Markov chains, known as array-RQMC. The...
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We consider a class of Markov chain models that includes the highly reliable Markovian systems (HRMS) often used to represent the evolution of multicomponent...
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A profit and a demand are associated with each arc of a set of profitable arcs of a given graph. A travel time is associated with each arc of the graph. A fl...
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This paper studies sustainability from both an economic and environmental perspective. We concentrate in two separate but interlinked environmental issues: t...
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The Dutch railway network experiences about three large disruptions per day on average. In this paper, we present an algorithm to reschedule the crews when s...
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<p> The complementarity of two renewable energy sources, namely hydro and wind, is investigated. We consider the diversification effect of wind power to re...
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A recent paper of Tuy and Hoai-Phuong published in <i>JOGO</i> (2007) 37:557--569 observes that there are errors in the reformulation of a signomial geometr...
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In this article, we consider nonparametric regression analysis between two variables when data are sampled through a complex survey. While nonparametric regr...
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