Ebook Download Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy
As known, experience and also experience concerning lesson, home entertainment, and understanding can be gotten by only reviewing a book Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy Also it is not straight done, you could know more regarding this life, regarding the world. We offer you this proper and also easy means to obtain those all. We offer Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy and also several book collections from fictions to scientific research at all. One of them is this Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy that can be your companion.
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy
Ebook Download Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy
Discover the secret to improve the quality of life by reading this Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy This is a sort of publication that you require currently. Besides, it can be your favored publication to review after having this book Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy Do you ask why? Well, Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy is a book that has different characteristic with others. You could not need to recognize who the author is, exactly how widely known the work is. As wise word, never ever judge the words from which speaks, however make the words as your good value to your life.
By reviewing Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy, you can know the expertise and points even more, not just about what you get from people to people. Book Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy will be more trusted. As this Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy, it will actually offer you the good idea to be effective. It is not just for you to be success in certain life; you can be successful in everything. The success can be begun by recognizing the basic knowledge and also do actions.
From the mix of understanding and also actions, someone could improve their skill and ability. It will lead them to live as well as function much better. This is why, the pupils, workers, or perhaps companies must have reading habit for books. Any sort of publication Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy will certainly give particular expertise to take all advantages. This is just what this Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy tells you. It will include more knowledge of you to life and function better. Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy, Try it and also verify it.
Based upon some experiences of many people, it remains in fact that reading this Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy can help them making better selection and give more encounter. If you intend to be one of them, let's acquisition this publication Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy by downloading and install guide on link download in this website. You can obtain the soft data of this publication Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy to download and install as well as put aside in your readily available electronic gadgets. Just what are you awaiting? Let get this book Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy online and review them in whenever and also any kind of area you will review. It will certainly not encumber you to bring hefty publication Robust Regression And Outlier Detection (Wiley Series In Probability And Statistics), By Peter J. Rousseeuw, Annick M. Leroy within your bag.
WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"The writing style is clear and informal, and much of the discussion is oriented to application. In short, the book is a keeper."
–Mathematical Geology
"I would highly recommend the addition of this book to the libraries of both students and professionals. It is a useful textbook for the graduate student, because it emphasizes both the philosophy and practice of robustness in regression settings, and it provides excellent examples of precise, logical proofs of theorems. . . .Even for those who are familiar with robustness, the book will be a good reference because it consolidates the research in high-breakdown affine equivariant estimators and includes an extensive bibliography in robust regression, outlier diagnostics, and related methods. The aim of this book, the authors tell us, is ‘to make robust regression available for everyday statistical practice.’ Rousseeuw and Leroy have included all of the necessary ingredients to make this happen."
–Journal of the American Statistical Association
- Sales Rank: #872831 in Books
- Published on: 1987-10
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .90" w x 6.30" l, 1.10 pounds
- Binding: Hardcover
- 352 pages
Review
"…a wonderful book about methods of identifying outliers and then developing robust regression." (Journal of Statistical Computation and Simulation, July 2005)
From the Publisher
Provides an applications-oriented introduction to robust regression and outlier detection, emphasising high-breakdown methods which can cope with a sizeable fraction of contamination. Its self-contained treatment allows readers to skip the mathematical material which is concentrated in a few sections. Exposition focuses on the least median of squares technique, which is intuitive and easy to use, and many real-data examples are given. Chapter coverage includes robust multiple regression, the special case of one-dimensional location, algorithms, outlier diagnostics, and robustness in related fields, such as the estimation of multivariate location and covariance matrices, and time series analysis.
From the Back Cover
WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"The writing style is clear and informal, and much of the discussion is oriented to application. In short, the book is a keeper."
–Mathematical Geology
"I would highly recommend the addition of this book to the libraries of both students and professionals. It is a useful textbook for the graduate student, because it emphasizes both the philosophy and practice of robustness in regression settings, and it provides excellent examples of precise, logical proofs of theorems. . . .Even for those who are familiar with robustness, the book will be a good reference because it consolidates the research in high-breakdown affine equivariant estimators and includes an extensive bibliography in robust regression, outlier diagnostics, and related methods. The aim of this book, the authors tell us, is ‘to make robust regression available for everyday statistical practice.’ Rousseeuw and Leroy have included all of the necessary ingredients to make this happen."
–Journal of the American Statistical Association
Most helpful customer reviews
27 of 29 people found the following review helpful.
great book on an interesting topic
By Michael R. Chernick
These authors provide an excellent guide to the available theory of robust regression. Graphical methods are well used to bring home the points. I have always liked looking at outliers and robustness from an influence function viewpoint and the authors do an excellent job of describing that theory.
The book came out in 1987 and so it is a little dated. Another reviewer criticizes some of the software that is mentioned. With computer methodology advancing so rapidly one should not expect the state-of-the-art in computing from a 14 year old text. Value it for its exposition and development of the theory.
18 of 19 people found the following review helpful.
Easy to follow introduction
By A Customer
Why should I read this book?
- The introduction alone is worth half the price of this book. It gives you a very good overview of robust estimators like m-estimators, least median of squares and least trimmed squares. Basically, you could just take the introduction and start implementing, if that's what you want. The author is able to tell how this and that method overcomes a problem and for what price, and all in one paragraph.
What do I need to understand this book?
- The math in this book is kept at an engineer's level, so an introductory course on statistics should be enough to follow the introduction and to get an insight into the following chapters. A lot of examples with real life data and nice plots show how the methods perform.
What's the drawback?
- The author talks a lot about his old-school fortran program called 'PROGRESS' - and eventually comes up with screen dumps (when people were still using terminals) of the program output. He even gives usage information like 'PROGRESS is designed to run on an IBM-PC or a compatible microcomputer. At least 256K RAM must be available.' Neither the source nor the binary is shipped with the book.
- Some new trends in robust statistics are not included, in particular, I do miss the RANSAC.
Conclusion:
- Better get this book from a library and photocopy the introduction. If you're not really interested, the introductory chapter should be enough.
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy PDF
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy EPub
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy Doc
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy iBooks
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy rtf
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy Mobipocket
Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics), by Peter J. Rousseeuw, Annick M. Leroy Kindle
Tidak ada komentar:
Posting Komentar