Institution
Tilburg University
Education•Tilburg, Noord-Brabant, Netherlands•
About: Tilburg University is a education organization based out in Tilburg, Noord-Brabant, Netherlands. It is known for research contribution in the topics: Population & Context (language use). The organization has 5550 authors who have published 22330 publications receiving 791335 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors outline two different models that can be applied to pre-registration in medical and psychological research, and discuss the advantages of each model to science as a whole and to the individual scientist.
262 citations
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19 Jan 2006TL;DR: In this paper, a survey of the most recent developments in input-output analysis and their applications is presented, helping us to examine questions such as: which industries are competitive? What are the multiplier effects of an investment program? How do environmental restrictions impact on prices? Linear programming and national accounting are introduced and used to resolve issues such as the choice of technique, the comparative advantage of a national economy, its efficiency and dynamic performance.
Abstract: Input-output analysis is the main tool of applied equilibrium analysis. This textbook provides a systematic survey of the most recent developments in input-output analysis and their applications, helping us to examine questions such as: which industries are competitive? What are the multiplier effects of an investment program? How do environmental restrictions impact on prices? Linear programming and national accounting are introduced and used to resolve issues such as the choice of technique, the comparative advantage of a national economy, its efficiency and dynamic performance. Technological and environmental spillovers are analysed, both at the national level (between industries) and the international level (the measurement of globalisation effects). The book is self-contained, but assumes some familiarity with calculus, matrix algebra, and the microeconomic principle of optimizing behaviour. Exercises and review questions are included at the end of each chapter, and solutions at the end of the book.
261 citations
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14 Dec 2007TL;DR: This chapter gives a survey on the use of statistical designs for what-if analysis in simula- tion, including sensitivity analysis, optimization, and validation/verification, including regression analysis and statistical designs.
Abstract: This chapter gives a survey on the use of statistical designs for what-if analysis in simula- tion, including sensitivity analysis, optimization, and validation/verification. Sensitivity analysis is divided into two phases. The first phase is a pilot stage, which consists of screening or searching for the important factors among (say) hundreds of potentially important factors. A novel screening technique is presented, namely sequential bifurcation. The second phase uses regression analysis to approximate the input/output transformation that is implied by the simulation model; the resulting regression model is also known as a metamodel or a response surface. Regression analysis gives better results when the simu- lation experiment is well designed, using either classical statistical designs (such as frac- tional factorials) or optimal designs (such as pioneered by Fedorov, Kiefer, and Wolfo- witz). To optimize the simulated system, the analysts may apply Response Surface Metho- dology (RSM); RSM combines regression analysis, statistical designs, and steepest-ascent hill-climbing. To validate a simulation model, again regression analysis and statistical designs may be applied. Several numerical examples and case-studies illustrate how statisti- cal techniques can reduce the ad hoc character of simulation; that is, these statistical techniques can make simulation studies give more general results, in less time. Appendix 1 summarizes confidence intervals for expected values, proportions, and quantiles, in termi- nating and steady-state simulations. Appendix 2 gives details on four variance reduction techniques, namely common pseudorandom numbers, antithetic numbers, control variates or regression sampling, and importance sampling. Appendix 3 describes jackknifing, which may give robust confidence intervals.
261 citations
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TL;DR: In this article, the authors introduce a multi-level transaction model that provides the necessary independence for the participating resource managers, e.g., local database and workflow servers, of organisations engaging in business transactions that are composed of interacting web services.
Abstract: Process oriented workflow systems and e-business applications require transactional support in order to orchestrate loosely coupled services into cohesive units of work and guarantee consistent and reliable execution. In this paper we introduce a multi-level transaction model that provides the necessary independence for the participating resource managers, e.g., local database and workflow servers, of organisations engaging in business transactions that are composed of interacting web services. We also present a taxonomy of e-business transaction features such as unconventional atomicity criteria, the need for support for business conversations and the need for distinguishing between three basic business transaction phases. In addition, we review current research and standard activities and outline the main ingredients of a business transaction framework necessary for building flexible e-business applications.
260 citations
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TL;DR: The authors examined the relationship between four sources of social support (i.e., spouse, relatives and friends, supervisor, and colleagues) and time and strain-based work-to-family and family to work conflict among 444 dual-earners.
260 citations
Authors
Showing all 5691 results
Name | H-index | Papers | Citations |
---|---|---|---|
David M. Fergusson | 127 | 474 | 55992 |
Johan P. Mackenbach | 120 | 783 | 56705 |
Henning Tiemeier | 108 | 866 | 48604 |
Allen N. Berger | 106 | 382 | 65596 |
Thorsten Beck | 99 | 373 | 62708 |
Luc Laeven | 93 | 355 | 36916 |
William J. Baumol | 85 | 460 | 49603 |
Michael H. Antoni | 84 | 431 | 21878 |
Russell Spears | 84 | 336 | 31609 |
Wim Meeus | 81 | 445 | 22646 |
Daan van Knippenberg | 80 | 223 | 25272 |
Wolfgang Karl Härdle | 79 | 783 | 28934 |
Aaron Cohen | 78 | 412 | 66543 |
Jan-Benedict E.M. Steenkamp | 74 | 178 | 36059 |
Geert Hofstede | 72 | 126 | 103728 |