9780198523963 - Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations: 18 di Bowman, Adrian W.; Azzalini, Adelchi (25 risultati)

Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Condizione: Very Good. Very light shelfwear, the book is clean and well kept.

Hardcover. Condizione: Good. Condition: Goed. Binding: Hardcover. Year: 1997. Language: Engels. Description: Strookje rug iets verbleekt met naam schutblad verder als nieuw. Lichte gebruik-/opslagsporen.

Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.

hardcover. Condizione: new.

Condizione: New.

Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Describes the use of smoothing techniques in statistics, with an emphasis on applications. This book also makes extensive reference to S-Plus, as a computing environment in which examples can be explored. It provides S-Plus functions and example scripts to implement many of the techniques described. Series: Oxford Statistical Science Series. Num Pages: 204 pages, line figures. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 241 x 161 x 19. Weight in Grams: 444. . 1997. Hardback. . . . .

Condizione: New. Describes the use of smoothing techniques in statistics, with an emphasis on applications. This book also makes extensive reference to S-Plus, as a computing environment in which examples can be explored. It provides S-Plus functions and example scripts to implement many of the techniques described. Series: Oxford Statistical Science Series. Num Pages: 204 pages, line figures. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 241 x 161 x 19. Weight in Grams: 444. . 1997. Hardback. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: new. Hardcover. 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 drawingconclusions 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 seekan 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-Plusfunctions 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 byreaders not interested in S-Plus. This text for statisticians and those who wish to apply smoothing techniques includes coverage of: density estimation for exploring data; density estimation for inference; nonparametric regression for exploring data; and comparing regression curves and surfaces. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. 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 drawingconclusions 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 seekan 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-Plusfunctions 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 byreaders not interested in S-Plus. This text for statisticians and those who wish to apply smoothing techniques includes coverage of: density estimation for exploring data; density estimation for inference; nonparametric regression for exploring data; and comparing regression curves and surfaces. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: new. Questo è un articolo print on demand.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condizione: new. Hardcover. 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 drawingconclusions 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 seekan 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-Plusfunctions 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 byreaders not interested in S-Plus. This text for statisticians and those who wish to apply smoothing techniques includes coverage of: density estimation for exploring data; density estimation for inference; nonparametric regression for exploring data; and comparing regression curves and surfaces. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Buch. Condizione: Neu. Applied Smoothing Techniques for Data Analysis | The Kernel Approach with S-Plus Illustrations | A. W. Bowman (u. a.) | Buch | Englisch | 1997 | OUP Oxford | EAN 9780198523963 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Condizione: New. Print on Demand pp. 208.

Condizione: New. Print on Demand pp. 208 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condizione: New. PRINT ON DEMAND pp. 208.