From its initial publication this book has been the standard text on the subject. Since then there has been a continuing high level of activity, and work has developed in all major areas. This third edition reflects the latest state of knowledge with fully revised and extended coverage of all topics. Additional topics and new emphases are presented and a richer coverage of practical fields and computer-based facilities, together with a fully updated reference list, are provided.
FREE Two-Day Shipping for Students. Learn more |
| ||||||||||||
 Sell Back Your Copy for $5.00
Whether you buy it used on Amazon for $195.00 or somewhere else, you can sell it back through our Book Trade-In Program at the current price of $5.00.
Used Price$195.00
Trade-in Price$5.00
Price after
Trade-in$190.00 |
Book Description
Special Offers and Product Promotions
- Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)
Editorial Reviews
Review
"It is an extremely well written and thought provoking classical book about outliers." (Journal of Statistical Computation and Simulation, January 2006)
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
28 of 29 people found the following review helpful:
5.0 out of 5 stars
thorough treatment of outliers,
By
This review is from: Outliers in Statistical Data (Wiley Series in Probability & Statistics) (Hardcover)
The first edition of this book in 1978 brought the first comprehensive text on outlier methods in statistical analysis. Outliers present important practical problems that have been studied for centuries. The twentieth century brought appropriate formal statistical methods for the detection and treatment of outliers.
The literature on outlier methods was scattered. It is commonly discussed in texts on regression analysis and sometimes in texts on robust statistical methods. Its importance in time series analysis was overlooked for a long time. Gnandesikan took the novel approach of using influence functions to search for multivariate outliers and covered this in his multivariate text. Another monograph exclusively on outlier methods by Doug Hawkins was also published at that time. However Barnett and Lewis gave the first comprehensive and unified account of the existing literature. The second edition published in 1984 provided an update and added chapters on outliers in spatial data and outliers in time series. The chapter on time series devoted some space to my approach for using an influence function matrix to detect outliers of unspecified type. This third edition that I am reviewing, published in 1995 expanded on the work in the previous editions, restructured the text and added many new references. It continues to be the classic reference on outlier methods.
Share your thoughts with other customers: Create your own review
|
|
Inside This Book
(learn more)
First Sentence:
From the earliest times, there has been a concern for 'unrepresentative', 'rogue', or 'outlying' observations in sets of data. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Royal Statistical Society, American Statistical Association, Table Test Description Page, Label Worksheet New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
From the earliest times, there has been a concern for 'unrepresentative', 'rogue', or 'outlying' observations in sets of data. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Royal Statistical Society, American Statistical Association, Table Test Description Page, Label Worksheet New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 100
books:
See all 100 books this book cites
100
books
cite this book:
See all 100 books citing this book
- Order Statistics (Wiley Series in Probability and Statistics) by Herbert A. David in Back Matter (1), Back Matter (2), and Back Matter (3)
- Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics) by Peter J. Rousseeuw on page 35, Back Matter (1), and Back Matter (2)
- Interpreting Multivariate Data (Probability & Mathematical Statistics) by Vic Barnett in Back Matter (1), and Back Matter (2)
- Probability and Statistics by Dale M. Johnson in Back Matter (1), and Back Matter (2)
- New Perspectives in Theoretical and Applied Statistics by Madan Lal Puri in Back Matter (1), and Back Matter (2)
See all 100 books this book cites
- Multivariate Environmental Statistics, Volume 6 (North-Holland Series in Statistics and Probability) by G.P. Patil on page 468, page 479, and page 487
- Predictive Inference (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Seymour Geisser on page 117, and Back Matter
- Accelerated Testing: Statistical Models, Test Plans, and Data Analysis (Wiley Series in Probability and Statistics) by Wayne B. Nelson in Back Matter (1), and Back Matter (2)
- Financial Forecasting for Business and Economics by Eduard J. Bomhoff on page 63, and page 211
- Introduction to Linear Regression Analysis, 3rd Edition by Douglas C. Montgomery in Back Matter (1), and Back Matter (2)
See all 100 books citing this book
What Other Items Do Customers Buy After Viewing This Item?
Tags Customers Associate with This Product(What's this?)Click on a tag to find related items, discussions, and people.
|
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
Listmania!
|
|
