The Analysis of Means
The Analysis of Means
The analysis of means (ANOM) is a graphical procedure used to quantify differences among treatment groups in a variety of experimental design and observational study situations. Key advances in ANOM procedures that have appeared only in technical journals during the last 20 years are included in this first comprehensive modern treatment of the ANOM containing all of the needed information for practitioners to understand and apply ANOM. This book contains examples from a wide variety of fields adapted from real-world applications and data with easy-to-follow, step-by-step instructions. It is front loaded, so potential ANOM users can find solutions to standard problems in the first five chapters. An appendix contains several SAS® examples showing the system's ANOM capabilities and how SAS was used to produce selected ANOM decision charts in the book. It will be welcomed by practitioners and statisticians, for whom it will serve both as a primer and reference.
- First comprehensive modern treatment of ANOM
- Front loaded, so potential ANOM users can find solutions to standard problems in the first five chapters.
- An appendix contains several SAS® examples showing the system's ANOM capabilities
Reviews & endorsements
'The book provides a well-written, comprehensive discussion of the analysis of means applied to almost all standard statistical methods.' William J. Wilson, Professor of Statistics, University of North Florida
'The book is a very practical comprehensive guide to the ANOM procedure. It has widespread application and is written at a level that can be comprehended by those who do not have a background in statistics. The ANOM procedures presented in the book provide the reader a means of communicating data to management, industry regulators, and peers in simple, graphical terms. The procedures combine the power of statistics with the simplicity of basic plotting techniques.' Sheri L. Meredith, Senior Quality Engineer, Vistakon, Division of Johnson & Johnson Vision Care, Inc., Jacksonville, Florida
'This book provides an excellent introduction to ANOM, and it should be part of every statistician's library. It is well written and covers a wide range of methods … In addition to the lucid presentation of the different types of analyses, the authors also provide excellent explanations of statistical concepts, as they are needed.' Gudmund R. Iverson, MAA Reviews
Product details
January 2005Paperback
9780898715927
184 pages
254 × 176 × 13 mm
0.46kg
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
- Preface
- Introduction
- 1. One-Factor Balanced Studies
- 2. One-Factor Unbalanced Studies
- 3. Testing for Equal Variances
- 4. Complete Multi-Factor Studies
- 5. Incomplete Multi-Factor Studies
- 6. Axial Mixture Designs
- 7. Heteroscedastic Data
- 8. Distribution-Free Techniques
- Appendix A: Figures
- Appendix B: Tables
- Appendix C: SAS Examples
- References
- Index.
