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APPLIED SMOOTHING TECHNIQUES FOR DATA ANALYSIS Kernel Approach Bowman/+ BOOK
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- ISBN
- 9780198523963
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Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0198523963
ISBN-13
9780198523963
eBay Product ID (ePID)
815770
Product Key Features
Number of Pages
204 Pages
Language
English
Publication Name
Applied Smoothing Techniques for Data Analysis : the Kernel Approach with S-Plus Illustrations
Publication Year
1997
Subject
Functional Analysis, Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Series
Oxford Statistical Science Ser.
Format
Hardcover
Dimensions
Item Height
0.6 in
Item Weight
15.2 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
College Audience
LCCN
98-100617
Dewey Edition
21
Reviews
'...a well-written book that fills an obvious gap in the statistics literature...a pragmatic introduction to the application of smoothing methods. The book's layout and structure are well designed and its language lucid. Examples are drawn from a range of disciplines and should appeal to abroad readership...Statisticians, who are familiar with applied non-parametric smoothing through programmed uncertainty estimates may want to check this book anyway for the odd trick they may have missed. For anyone who lacks one or more of those elements, and is involved in any way with dataanalysis, it is an excellent buy.'Scientific Computing World, April 1998, ' This must be a very attractive book: when it was lying on my desk while preparing this review, it constantly taken away by students and colleagues who were attracted by the topic and the nice presentation with graphics, examples, S-Plus material, etc....A glance at the more than two-hundredreferences reveals that most of them date from the nineties and hence it becomes clear that this is an up-to-date book with the most recent state of the art.'N. Veraverbeke, Short Book Reviews, August 1998, There is a rich choice of examples, exercises, hints for further reading and S-Plus illustrations. Compared to the several other recent books in the area, the present monograph has the advantage of being introductory and practcial within a very reasonable number of pages., "An up-to-date book with the most recent state of the art. . . . Accessible to nonmathematical readers. . .There is a rich choice of examples, exercises, hints for further reading and S-Plus illustrations." --N. Veraverbeke, Limburgs Universitair Centrum, Diepenbeek, Belgium"[T]his book provides an overview of smoothing techniques used in data analysis, with emphasis on one- and two-dimensional data. The authors' aim is to complement the existing books by focusing on intuitive presentation of the ideas and on practical issues of inference rather than estimation. The book consists of eight chapters and 193 pages, with the first two chapters devoted to density estimation and the last six . . . concentrating on smoothing in regression and time series. Real data are used throughout to illustrate the techniques. . . . [T]he book attempts to be both a practical introduction to smoothing and an outline of the methodological and theoretical development of the subject. It does reasonably well at both, but its strength is in showing the techniques and illustrating them on datasets. I think it will be a quite useful book for a research or applied statistician wanting an overview of the subject with examples and references."--Technometrics"This instructive textbook provides an excellent introduction to smoothing, with an emphasis on methods, applications on real data, and subsequent inferences. If you are an applied and/or a quantitatively oriented researcher who is unfamiliar with (or suspicious of) smoothing methods, you will definitely appreciate the book's level and practical focus, as the authors have presented the methodology and have demonstrated implementation clearly on real datasets with descriptive interpretations of the results. . . . This book would serve as an excellent textbook for a masters-level course on smoothing because it focuses on actual practice, through real datasets and corresponding software (available on-line as described in Appendix A) and because of the instructive exercises that conclude each chapter."--Journal of the American Statistical Association, There is a rich choice of examples, exercises, hints for further readingand S-Plus illustrations. Compared to the several other recent books in thearea, the present monograph has the advantage of being introductory andpractcial within a very reasonable number of pages., "An up-to-date book with the most recent state of the art. . . . Accessible to nonmathematical readers. . .There is a rich choice of examples, exercises, hints for further reading and S-Plus illustrations." --N. Veraverbeke, Limburgs Universitair Centrum, Diepenbeek, Belgium "[T]his book provides an overview of smoothing techniques used in data analysis, with emphasis on one- and two-dimensional data. The authors' aim is to complement the existing books by focusing on intuitive presentation of the ideas and on practical issues of inference rather than estimation. The book consists of eight chapters and 193 pages, with the first two chapters devoted to density estimation and the last six . . . concentrating on smoothing in regression and time series. Real data are used throughout to illustrate the techniques. . . . [T]he book attempts to be both a practical introduction to smoothing and an outline of the methodological and theoretical development of the subject. It does reasonably well at both, but its strength is in showing the techniques and illustrating them on datasets. I think it will be a quite useful book for a research or applied statistician wanting an overview of the subject with examples and references."--Technometrics "This instructive textbook provides an excellent introduction to smoothing, with an emphasis on methods, applications on real data, and subsequent inferences. If you are an applied and/or a quantitatively oriented researcher who is unfamiliar with (or suspicious of) smoothing methods, you will definitely appreciate the book's level and practical focus, as the authors have presented the methodology and have demonstrated implementation clearly on real datasets with descriptive interpretations of the results. . . . This book would serve as an excellent textbook for a masters-level course on smoothing because it focuses on actual practice, through real datasets and corresponding software (available on-line as described in Appendix A) and because of the instructive exercises that conclude each chapter."--Journal of the American Statistical Association, 'A well-written book that fills an obvious gap in the statistics literature.....a pragmatic introduction to the application of smoothing methods. The book's layout and structure are well designed and its language lucid. Examples are drawn from a range of disciplines and should appeal to abroad readership.....an excellent buy.'Scienctific Computing World, '...a well-written book that fills an obvious gap in the statistics literature...a pragmatic introduction to the application of smoothing methods. The book's layout and structure are well designed and its language lucid. Examples are drawn from a range of disciplines and should appeal to a broad readership...Statisticians, who are familiar with applied non-parametric smoothing through programmed uncertainty estimates may want to check this book anyway forthe odd trick they may have missed. For anyone who lacks one or more of those elements, and is involved in any way with data analysis, it is an excellent buy.'Scientific Computing World, April 1998'A well-written book that fills an obvious gap in the statistics literature.....a pragmatic introduction to the application of smoothing methods. The book's layout and structure are well designed and its language lucid. Examples are drawn from a range of disciplines and should appeal to a broad readership.....an excellent buy.'Scienctific Computing World' This must be a very attractive book: when it was lying on my desk while preparing this review, it constantly taken away by students and colleagues who were attracted by the topic and the nice presentation with graphics, examples, S-Plus material, etc....A glance at the more than two-hundred references reveals that most of them date from the nineties and hence it becomes clear that this is an up-to-date book with the most recent state of the art.'N. Veraverbeke, Short Book Reviews, August 1998There is a rich choice of examples, exercises, hints for further reading and S-Plus illustrations. Compared to the several other recent books in the area, the present monograph has the advantage of being introductory and practcial within a very reasonable number of pages.
Series Volume Number
18
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
1. Density estimation for exploring data2. Density estimation for inference3. Nonparametric regression for exploring data4. Inference with nonparametric regression5. Checking parametric regression models6. Comparing regression curves and surfaces7. Time series data8. An introduction to semiparametric and additive modelsReferences
Synopsis
The book describes the use of smoothing techniques in statistics, with an emphasis on applications rather than on detailed theory. The text makes extensive reference to S-Plus, as a computing environment in which examples can be explored. S-Plus functions and example scripts are provided to implement many of the techniques described. However, the book is of interest even to readers that do not use S-Plus, since the scripts are only a complement to the main body of text., The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in research in this area have been made in recent years. The aim of this text is to describe a variety of ways in which these methods can be applied to practical problems in statistics. The role of smoothing techniques in exploring data graphically is emphasised, but the use of nonparametric curves in drawing conclusions from data, as an extension of more standard parametric models, is also a major focus of the book. Examples are drawn from a wide range of applications. The book is intended for those who seek an introduction to the area, with an emphasis on applications rather than on detailed theory. It is therefore expected that the book will benefit those attending courses at an advanced undergraduate, or postgraduate, level, as well as researchers, both from statistics and from other disciplines, who wish to learn about and apply these techniques in practical data analysis. The text makes extensive reference to S-Plus, as a computing environment in which examples can be explored. S-Plus functions and example scripts are provided to implement many of the techniques described. These parts are, however, clearly separate from the main body of text, and can therefore easily be skipped by readers not interested in S-Plus., This book describes the use of smoothing techniques in statistics and includes both density estimation and nonparametric regression. Incorporating recent advances, it describes a variety of ways to apply these methods to practical problems. Although the emphasis is on using smoothing techniques to explore data graphically, the discussion also covers data analysis with nonparametric curves, as an extension of more standard parametric models. Intended as an introduction, with a focus on applications rather than on detailed theory, the book will be equally valuable for undergraduate and graduate students in statistics and for a wide range of scientists interested in statistical techniques. The text makes extensive reference to S-Plus, a powerful computing environment for exploring data, and provides many S-Plus functions and example scripts. This material, however, is independent of the main body of text and may be skipped by readers not interested in S-Plus.
LC Classification Number
QA278.B68 1997
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Dev's TECH-ALLEY-BOOKS
100% de votos positivos•42 mil artículos vendidos
Registrado como vendedor particularPor tanto, no se aplican los derechos de los consumidores derivados de las leyes de protección de los consumidores de la UE. La Garantía al cliente de eBay sigue aplicando a la mayoría de compras. Más informaciónMás información
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- e***a (1214)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaPorch pirates stole this item within 10 minutes of delivery. *NO COMPLAINTS* about the seller, though! Although I can't rate shipping and packaging, I can totally rate the seller on their communications and conversation! And now, I'm off to get a P.O. Box for the future!4 Different BRASS RING/CAROUSEL HORSES CROSS STITCH PATTERN BOOKS (#376434667143)
- -***- (122)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaGreat Seller! The book was well-packed for shipping and arrived in a timely manner. The book was as described and shown in the photos. The Seller was very professional and courteous, as well as responsive to all communication. A wonderful buying experience from an excellent Seller.A HOLMES READER ON CHANGE Signed BOOK (#225990675480)
- h***w (34)- Votos emitidos por el comprador.Mes pasadoCompra verificadaIt was packed very well. The seller took time to carefully wrap it for shipping. It was the same as it was described and shown in pics. Great price good as well.