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Birkhäuser

Advances in Stochastic Simulation Methods

  • Book
  • © 2000

Overview

Editors:
  1. N. Balakrishnan

    1. Department of Mathematics and Statistics, McMaster University, Hamilton, Canada

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  2. V. B. Melas

    1. Faculty of Mathematics and Mechanics, St. Petersburg State University, St. Petersburg, Russia

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  3. S. Ermakov

    1. Faculty of Mathematics and Mechanics, St. Petersburg State University, St. Petersburg, Russia

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Part of the book series: Statistics for Industry and Technology (SIT)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xxvi
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  3. Experimental Designs

    1. Front Matter

      Pages 83-83
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    2. Analytical Theory of E-optimal Designs for Polynomial Regression

      • V. B. Melas
      Pages 85-115

    3. Bias Constrained Minimax Robust Designs for Misspecified Regression Models

      • Douglas P. Wiens
      Pages 117-133

    4. A Comparative Study of MV- and SMV-Optimal Designs for Binary Response Models

      • J. López-Fidalgo, W. K. Wong
      Pages 135-151

    5. On the Criteria for Experimental Design in Nonlinear Error-In-Variables Models

      • Silvelyn Zwanzig
      Pages 153-163

    6. On Generating and Classifying All qn-m-l Regularly Blocked Factional Designs

      • P. J. Laycock, P. J. Rowley
      Pages 165-176

    7. Locally Optimal Designs in Non-Linear Regression: A Case Study of the Michaelis-Menten Function

      • E. P. J. Boer, D. A. M. K. Rasch, E. M. T. Hendrix
      Pages 177-188

    8. D-Optimal Designs for Quadratic Regression Models

      • E. E. M. van Berkum, B. Pauwels, P. M. Upperman
      Pages 189-195

    9. On the Use of Symmetry in Optimal Design of Experiments

      • Vladimir Soloviov
      Pages 197-203
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Keywords

About this book

This is a volume consisting of selected papers that were presented at the 3rd St. Petersburg Workshop on Simulation held at St. Petersburg, Russia, during June 28-July 3, 1998. The Workshop is a regular international event devoted to mathematical problems of simulation and applied statistics organized by the Department of Stochastic Simulation at St. Petersburg State University in cooperation with INFORMS College on Simulation (USA). Its main purpose is to exchange ideas between researchers from Russia and from the West as well as from other coun­ tries throughout the World. The 1st Workshop was held during May 24-28, 1994, and the 2nd workshop was held during June 18-21, 1996. The selected proceedings of the 2nd Workshop was published as a special issue of the Journal of Statistical Planning and Inference. Russian mathematical tradition has been formed by such genius as Tchebysh­ eff, Markov and Kolmogorov whose ideas have formed the basis for contempo­ rary probabilistic models. However, for many decades now, Russian scholars have been isolated from their colleagues in the West and as a result their mathe­ matical contributions have not been widely known. One of the primary reasons for these workshops is to bring the contributions of Russian scholars into lime­ light and we sincerely hope that this volume helps in this specific purpose.

Editors and Affiliations

  • Department of Mathematics and Statistics, McMaster University, Hamilton, Canada

    N. Balakrishnan

  • Faculty of Mathematics and Mechanics, St. Petersburg State University, St. Petersburg, Russia

    V. B. Melas, S. Ermakov

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