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Case Studies in Data Analysis

  • Jane F. Gentleman
  • G. A. Whitmore

Part of the Lecture Notes in Statistics book series (LNS, volume 94)

Table of contents

  1. Front Matter
    Pages i-viii
  2. John D. Kalbfleisch, Cyntha A. Struthers, Duncan C. Thomas
    Pages 1-23
  3. Jane F. Gentleman, G. A. Whitmore, Marc Moore, F. W. Zwiers
    Pages 45-69
  4. Jane F. Gentleman, G. A. Whitmore, Craig McKie, A. Ian McLeod, Ian B. MacNeill, Jahnabimala D. Bhattacharyya et al.
    Pages 71-118
  5. Jane F. Gentleman, G. A. Whitmore, F. W. Zwiers, W. H. Ross
    Pages 119-144
  6. Jane F. Gentleman, G. A. Whitmore, Jean-Pierre Carmichael, Gaétan Daigle, Louis-Paul Rivest, Bing Li et al.
    Pages 145-176
  7. Jane F. Gentleman, G. A. Whitmore, Ellen M. Gee, James G. McDaniel, C. A. Struthers
    Pages 177-217
  8. Jane F. Gentleman, G. A. Whitmore, Gerarda A. Darlington, Brian J. Eastwood, B. G. Leroux, D. Krewski
    Pages 219-262
  9. Back Matter
    Pages 263-265

About this book

Introduction

This volume is a collection of eight Case Studies in Data Analysis that appeared in various issues of the Canadian Journal of Statistics (OS) over a twelve­ year period from 1982 to 1993. One follow-up article to Case Study No.4 is also included in the volume. The OS's Section on Case Studies in Data Analysis was initiated by a former editor who wanted to increase the analytical content of the journal. We were asked to become Section Co-Editors and to develop a format for the case studies. Each case study presents analyses of a real data set by two or more analysts or teams of analysts working independently in a simulated consulting context. The section aimed at demonstrating the process of statistical analysis and the possible diversity of approaches and conclusions. For each case study, the Co-Editors found a set of real Canadian data, posed what they thought was an interesting statistical problem, and recruited analysts working in Canada who were willing to tackle it. The published case studies describe the data and the problem, and present and discuss the analysts' solutions. For some case studies, the providers of the data were invited to contribute their own analysis.

Keywords

Area Simula Volume boundary element method chemistry data analysis pattern patterns sets

Editors and affiliations

  • Jane F. Gentleman
    • 1
  • G. A. Whitmore
    • 2
  1. 1.Health Statistics DivisionStatistics CanadaOttawaCanada
  2. 2.Faculty of ManagementMcGill UniversityMontrealCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-2688-8
  • Copyright Information Springer-Verlag New York 1994
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-94410-4
  • Online ISBN 978-1-4612-2688-8
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site