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© 1996

Modelling and Prediction Honoring Seymour Geisser

  • Jack C. Lee
  • Wesley O. Johnson
  • Arnold Zellner
Book

Table of contents

  1. Front Matter
    Pages i-xvi
  2. General Methodological Issues

  3. Prediction

  4. Design of Experiments and Classification

  5. Prior Distributions and Estimation

    1. Front Matter
      Pages 205-205
    2. Merlise Clyde, Giovanni Parmigiani
      Pages 206-227
    3. F. Jay Breidt, Alicia L. Carriquiry
      Pages 228-247

About this book

Introduction

Modelling and Prediction Honoring Seymour Geisser contains the refereed proceedings of the Conference on Forecasting, Prediction, and Modelling held at National Chiao Tung University, Taiwan in 1994. The papers discuss general methodological issues; prediction; design of experiments and classification; prior distributions and estimation; posterior odds, testing, and model selection; modelling and prediction in finance; and time series modelling and applications. Specific topics include very interesting and topical statistical issues related to DNA fingerprinting and spatial image reconstruction, foundational issues for applied statistics and testing hypotheses, forecasting tax revenues and bond prices, and assessing oxone depletion.

Keywords

DNA Statistica applied statistics classification design distribution fingerprint model modeling modelling selection statistics testing time time series

Editors and affiliations

  • Jack C. Lee
    • 1
  • Wesley O. Johnson
    • 2
  • Arnold Zellner
    • 3
  1. 1.Institute of StatisticsNational Chiao Tung UniversityHsichuTaiwan R.O.C
  2. 2.Department of StatisticsUniversity of California, DavisDavisUSA
  3. 3.Graduate School of BusinessUniversity of ChicagoChicagoUSA

Bibliographic information

  • Book Title Modelling and Prediction Honoring Seymour Geisser
  • Editors Jack C. Lee
    Wesley O. Johnson
    Arnold Zellner
  • DOI https://doi.org/10.1007/978-1-4612-2414-3
  • Copyright Information Springer Science+Business Media New York 1996
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-387-94808-9
  • Softcover ISBN 978-1-4612-7529-9
  • eBook ISBN 978-1-4612-2414-3
  • Edition Number 1
  • Number of Pages XVI, 448
  • Number of Illustrations 22 b/w illustrations, 0 illustrations in colour
  • Topics Applications of Mathematics
  • Buy this book on publisher's site