Testing 1 - 2 - 3: Experimental Design with Applications in Marketing and Service Operations
This book is about the power of statistical experiments. In the past, books on experimental design focused almost entirely on manufacturing problems. In contrast, although this book is relevant to manufacturing and includes useful examples in that area, its emphasis is on applications to marketing and service operations. The authors provide a fresh and practical treatment of the key topics in designing and analyzing experiments. Testing in the business world is commonplace, and the usual approach is to change one factor at a time while holding other factors constant. This approach may seem logical and appealing, but, as the authors explain, it is highly inefficient, and may lead to wrong conclusions. The better method, the authors propose, is to test all factors simultaneously. Doing so not only reduces the costs of experimenting but also provides the decision-maker with better information.

Throughout the book, the authors illustrate concepts with practical examples. In addition, the book includes a set of 13 separate real-world cases based on the actual implementation of experimental design methods.

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Testing 1 - 2 - 3: Experimental Design with Applications in Marketing and Service Operations
This book is about the power of statistical experiments. In the past, books on experimental design focused almost entirely on manufacturing problems. In contrast, although this book is relevant to manufacturing and includes useful examples in that area, its emphasis is on applications to marketing and service operations. The authors provide a fresh and practical treatment of the key topics in designing and analyzing experiments. Testing in the business world is commonplace, and the usual approach is to change one factor at a time while holding other factors constant. This approach may seem logical and appealing, but, as the authors explain, it is highly inefficient, and may lead to wrong conclusions. The better method, the authors propose, is to test all factors simultaneously. Doing so not only reduces the costs of experimenting but also provides the decision-maker with better information.

Throughout the book, the authors illustrate concepts with practical examples. In addition, the book includes a set of 13 separate real-world cases based on the actual implementation of experimental design methods.

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Testing 1 - 2 - 3: Experimental Design with Applications in Marketing and Service Operations

Testing 1 - 2 - 3: Experimental Design with Applications in Marketing and Service Operations

Testing 1 - 2 - 3: Experimental Design with Applications in Marketing and Service Operations

Testing 1 - 2 - 3: Experimental Design with Applications in Marketing and Service Operations

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Overview

This book is about the power of statistical experiments. In the past, books on experimental design focused almost entirely on manufacturing problems. In contrast, although this book is relevant to manufacturing and includes useful examples in that area, its emphasis is on applications to marketing and service operations. The authors provide a fresh and practical treatment of the key topics in designing and analyzing experiments. Testing in the business world is commonplace, and the usual approach is to change one factor at a time while holding other factors constant. This approach may seem logical and appealing, but, as the authors explain, it is highly inefficient, and may lead to wrong conclusions. The better method, the authors propose, is to test all factors simultaneously. Doing so not only reduces the costs of experimenting but also provides the decision-maker with better information.

Throughout the book, the authors illustrate concepts with practical examples. In addition, the book includes a set of 13 separate real-world cases based on the actual implementation of experimental design methods.


Product Details

ISBN-13: 9780804756129
Publisher: Stanford University Press
Publication date: 05/01/2007
Edition description: 1
Pages: 312
Product dimensions: 7.00(w) x 10.00(h) x 1.00(d)

About the Author

Johannes Ledolter is the C. Maxwell Stanley Professor of Management Sciences at the University of Iowa, and Professor of Statistics at the Vienna University of Economics and Business Administration. His books include Introduction to Regression Modeling (with Bovas Abraham) and Achieving Quality Through Continual Improvement (with Claude W. Burrill). Arthur J. Swersey is Professor of Operations Research at the Yale School of Management.

Table of Contents


Preface     ix
Introduction     1
A Review of Basic Statistical Concepts     8
Testing Differences Among Several Means: Completely Randomized and Randomized Complete Block Experiments     47
Two-Level Factorial Experiments     64
Two-Level Fractional Factorial Designs     111
Plackett-Burman Designs     150
Experiments with Factors at Three or More Levels     169
Nonorthogonal Designs and Computer Software for Design Construction and Data Analysis     192
Case Studies     213
References     289
Index     295
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