Statistical Case Studies

Roxy Peck, Larry D. Haugh, Arnold Goodman

ISBN 10: 0898714214 / ISBN 13: 9780898714210

Published by Society for Industrial and Applied Mathematics,U.S., US, 1998

About this Item

Statisticians know that the clean data sets that appear in textbook problems have little to do with real-life industry data. To better prepare their students for all types of statistical careers, academic statisticians now strive to use data sets from real-life statistical problems. This book contains 20 case studies that use actual data sets that have not been simplified for classroom use. Each case study is a collaboration between statisticians from academe and from business, industry, or government.This book is the result of a collaborative workshop of statisticians focusing on academic?industrial partnerships. The cases come from a wide variety of application areas, including biology/environment, medical and health care, pharmaceutical, marketing and survey research, and manufacturing.

Seller Inventory # LU-9780898714210

Bibliographic Details

• Title: Statistical Case Studies
• Publisher: Society for Industrial and Applied Mathematics,U.S., US
• Publication Date: 1998
• Language: English
• ISBN 10: 0898714214
• ISBN 13: 9780898714210
• Binding: Paperback
• Condition: New
• Weight: 434 grams

About this title

Synopsis

Statisticians know that the clean data sets that appear in textbook problems have little to do with real-life industry data. To better prepare their students for all types of statistical careers, academic statisticians now strive to use data sets from real-life statistical problems. This book contains 20 case studies that use actual data sets that have not been simplified for classroom use. Each case study is a collaboration between statisticians from academe and from business, industry, or government. This book is the result of a collaborative workshop of statisticians focusing on academic-industrial partnerships. The cases come from a wide variety of application areas, including biology/environment, medical and health care, pharmaceutical, marketing and survey research, and manufacturing.