Advances in GLIM and Statistical Modelling

Proceedings of the GLIM92 Conference and the 7th International Workshop on Statistical Modelling, Munich, 13–17 July 1992

  • Ludwig Fahrmeir
  • Brian Francis
  • Robert Gilchrist
  • Gerhard Tutz

Part of the Lecture Notes in Statistics book series (LNS, volume 78)

Table of contents

  1. Front Matter
    Pages i-x
  2. Papers Presented in the GLIM Working Party Session

    1. Robert Gilchrist, Clive Payne
      Pages 1-5
    2. Brian Francis, Mick Green, Mike Clarke
      Pages 6-12
    3. Tony Swan, Brian Francis
      Pages 13-19
  3. Invited and Contributed Papers

    1. Damon M. Berridge
      Pages 27-33
    2. Nicola Crichton, John Hinde
      Pages 54-59
    3. Paul H. C. Eilers, Brian D. Marx
      Pages 72-77
    4. Ludwig Fahrmeir, Wolfgang Hennevogl, Karola Klemme
      Pages 85-90

About these proceedings

Introduction

This volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992. The meeting aimed to bring together researchers interested in the development and applications of generalized linear modelling in GUM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops and GUM conferences. Previous GUM conferences were held in London and Lancaster, and a joint GUM Conference/4th Modelling Workshop was held in Trento. (The Proceedings of previous GUM conferences/Statistical Modelling Workshops are available as numbers 14 , 32 and 57 of the Springer Verlag series of Lecture Notes in Statistics). Workshops have been organized in Innsbruck, Perugia, Vienna, Toulouse and Utrecht. (Proceedings of the Toulouse Workshop appear as numbers 3 and 4 of volume 13 of the journal Computational Statistics and Data Analysis). Much statistical modelling is carried out using GUM, as is apparent from many of the papers in these Proceedings. Thus the Programme Committee were also keen on encouraging papers which addressed problems which are not only of practical importance but which are also relevant to GUM or other software development. The Programme Committee requested both theoretical and applied papers. Thus there are papers in a wide range of practical areas, such as ecology, breast cancer remission and diabetes mortality, banking and insurance, quality control, social mobility, organizational behaviour.

Keywords

Fitting Generalized linear model Likelihood Random variable STATISTICA Time series best fit data analysis

Editors and affiliations

  • Ludwig Fahrmeir
    • 1
  • Brian Francis
    • 2
  • Robert Gilchrist
    • 3
  • Gerhard Tutz
    • 4
  1. 1.Seminar für StatistikUniversity of MunichMunich 22Germany
  2. 2.Centre for Applied StatisticsLancaster University, Fylde CollegeLancasterUK
  3. 3.Faculty of Science, Computing and EngineeringPolytechnic of North LondonLondonEngland
  4. 4.Institut für StatistikUniversity of RegensburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-2952-0
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-97873-4
  • Online ISBN 978-1-4612-2952-0
  • Series Print ISSN 0930-0325
  • About this book