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Regression estimators in simulation

Kleijnen, Jack P.C.; Hopmans, A.C.M. - Tilburg University, School of Economics and Management - 1977

Persistent link: https://www.econbiz.de/10011087045

Optimal sampling-rates of digital LQ and LQG tracking controllers with costs associated to sampling

Engwerda, Jacob; van Willigenburg, L.G. - Tilburg University, School of Economics and Management - 1994

Persistent link: https://www.econbiz.de/10011087214

Bayesian efficiency analysis with a flexible form : The aim cost function

Koop, G.; Osiewalski, J.; Steel, M.F.J. - Tilburg University, Center for Economic Research - 1994

Persistent link: https://www.econbiz.de/10011090476

Incomplete panels and selection bias : A survey

Nijman, Theo; Verbeek, M.J.C.M. - Tilburg University, Center for Economic Research - 1992

Persistent link: https://www.econbiz.de/10011090614

Two-Step Sequential Sampling

Moors, J.J.A.; Strijbosch, L.W.G. - Tilburg University, Center for Economic Research - 2000

Deciding upon the optimal sample size in advance is a difficult problem in general. Often, the investigator regrets not having drawn a larger sample; in many cases additional observations are done. This implies that the actual sample size is no longer deterministic; hence, even if all sample...

Persistent link: https://www.econbiz.de/10011091204

Customized Pull Systems for Single-Product Flow Lines

Kleijnen, Jack P.C.; Gaury, E.G.A.; Pierreval, H. - Tilburg University, Center for Economic Research - 1998

Traditionally pull production systems are managed through classic control systems such as Kanban, Conwip, or Base stock, but this paper proposes ‘customized’ pull control. Customization means that a given production line is managed through a pull control system that in principle connects...

Persistent link: https://www.econbiz.de/10011091307

A note on exponential dispersion models which are invariant under length-biased sampling

Bar-Lev, S.K.; van der Duyn Schouten, F.A. - Tilburg University, Center for Economic Research - 2003

Length-biased sampling situations may occur in clinical trials, reliability, queueing models, survival analysis and … population studies where a proper sampling frame is absent.In such situations items are sampled at rate proportional to their … exponential dispersion models which are invariant, up to translations, under various types of length-biased sampling.The approach …

Persistent link: https://www.econbiz.de/10011091741

A User's Guide to the Brave New World of Designing Simulation Experiments

Kleijnen, Jack P.C.; Sanchez, S.M.; Lucas, T.W.; … - Tilburg University, Center for Economic Research - 2003

Many simulation practitioners can get more from their analyses by using the statistical theory on design of experiments (DOE) developed specifically for exploring computer models.In this paper, we discuss a toolkit of designs for simulationists with limited DOE expertise who want to select a...

Persistent link: https://www.econbiz.de/10011091852

Group Testing Models with Processing Times and Incomplete Identification

Bar-Lev, S.K.; Stadje, W.; van der Duyn Schouten, F.A. - Tilburg University, Center for Economic Research - 2002

sampling a prespecified demanded number of nondefective items at minimum cost.Group testing means that items can be pooled and …

Persistent link: https://www.econbiz.de/10011092013

Granger Causality and the Sampling of Economic Processes

McCrorie, J.R.; Chambers, M.J. - Tilburg University, Center for Economic Research - 2004

This paper provides a discussion of the developments in econometric modelling that are designed to deal with the problem of spurious Granger causality relationships that can arise from temporal aggregation.We outline the distortional e ects of using discrete time models that explicitly depend on...

Persistent link: https://www.econbiz.de/10011092014