Statistical Consulting

✍ Scribed by Javier Cabrera, Andrew McDougall (auth.)

• Publisher: Springer-Verlag New York
• Year: 2002
• Tongue: English
• Leaves: 397
• Edition: 1
• Category: Library

✦ Synopsis

The motivation for this book arose from the statistical consulting course that we have taught regularly for several years. In that course, we focus on the themes: • Understanding the statistical consulting "process" • Developing effective communication skills • Obtaining experience through case studies. In reality, there is no substitute for consulting directly with a client and for this interaction to be effective, good communication skills are essential. Unfortunately, this aspect of a statistician's training is often neglected and statistics graduates have little choice but to learn these skills on the job. One of the purposes of this book is to address this need. Statistical consulting occurs in a diverse range of environments and for tackling real-life statistical problems, the statistician needs to have a strong interest in the scientific method. History itself provides the best examples for developing this interest and so we begin with a brief historical voyage in Chapter 1. There's no time like the present, of course, and in the remainder of this chapter we describe some of the environments in which statistical consulting plays a major role. A detailed discussion on verbal and written communication skills that will be required in a consulting environment is presented in Chapter 2.

✦ Table of Contents

Front Matter....Pages i-xi
Front Matter....Pages 1-1
Introduction to Statistical Consulting....Pages 3-25
Communication....Pages 27-59
Methodological Aspects....Pages 61-146
A Consulting Project from A to Z....Pages 147-193
Front Matter....Pages 195-195
Introduction to the Case Studies....Pages 197-202
Case Studies from Group I....Pages 203-234
Case Studies from Group II....Pages 235-272
Case Studies from Group III....Pages 273-307
Additional Case Studies....Pages 309-320
Back Matter....Pages 321-391

✦ Subjects

Statistical Theory and Methods; Statistics for Life Sciences, Medicine, Health Sciences; Statistics for Business/Economics/Mathematical Finance/Insurance; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences