Case Studies in Data Analysis

1. Front Matter

   Pages i-viii

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2. Measuring the impact of an intervention on equipment lives

   • John D. Kalbfleisch, Cyntha A. Struthers, Duncan C. Thomas

   Pages 1-23

3. Measurement of possible lung damage to firefighters at the Mississauga train derailment

   • Robert Kusiak, Jaan Roos

   Pages 25-43

4. Iceberg paths and collision risks for fixed marine structures

   • Jane F. Gentleman, G. A. Whitmore, Marc Moore, F. W. Zwiers

   Pages 45-69

5. Temporal patterns in twenty years of Canadian homicides

   • Jane F. Gentleman, G. A. Whitmore, Craig McKie, A. Ian McLeod, Ian B. MacNeill, Jahnabimala D. Bhattacharyya et al.

   Pages 71-118

6. Extreme-value analysis of Canadian wind speeds

   • Jane F. Gentleman, G. A. Whitmore, F. W. Zwiers, W. H. Ross

   Pages 119-144

7. Beer Chemistry and Canadians’ Beer Preferences

   • Jane F. Gentleman, G. A. Whitmore, Jean-Pierre Carmichael, Gaétan Daigle, Louis-Paul Rivest, Bing Li et al.

   Pages 145-176

8. Estimation of the need for child care in Canada

   • Jane F. Gentleman, G. A. Whitmore, Ellen M. Gee, James G. McDaniel, C. A. Struthers

   Pages 177-217

9. Estimation of the mutagenic potency of environmental chemicals using short-term bioassay

   • Jane F. Gentleman, G. A. Whitmore, Gerarda A. Darlington, Brian J. Eastwood, B. G. Leroux, D. Krewski

   Pages 219-262

10. Back Matter

    Pages 263-265

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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.

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

• Health Statistics Division, Statistics Canada, Ottawa, Canada

  Jane F. Gentleman

• Faculty of Management, McGill University, Montreal, Canada

  G. A. Whitmore

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