Applied Nonparametric Regression (Paperback)

Wolfgang Hardle

ISBN 10: 0521429501 / ISBN 13: 9780521429504

Published by Cambridge University Press, Cambridge, 1992

About this Item

Paperback. Applied Nonparametric Regression brings together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs has made curve estimation popular. This volume focuses on the applications and practical problems of two central aspects of curve smoothing: the choice of smoothing parameters and the construction of confidence bounds. The methods covered in this text have numerous applications in many areas using statistical analysis. Examples are drawn from economics—such as the estimation of Engel curves—as well as other disciplines including medicine and engineering. For practical applications of these methods a computing environment for exploratory Regression—XploRe—is described. 'Applied Nonparametric Regression' is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. This volume focuses on the applications and practical problems of two central aspects of curve smoothing the choice of smoothing parameters and the construction of confidence bounds. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780521429504

Bibliographic Details

• Title: Applied Nonparametric Regression (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 1992
• Language: English
• ISBN 10: 0521429501
• ISBN 13: 9780521429504
• Binding: Paperback
• Condition: new

About this title

Synopsis

Applied Nonparametric Regression brings together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs has made curve estimation popular. This volume focuses on the applications and practical problems of two central aspects of curve smoothing: the choice of smoothing parameters and the construction of confidence bounds. The methods covered in this text have numerous applications in many areas using statistical analysis. Examples are drawn from economics--such as the estimation of Engel curves--as well as other disciplines including medicine and engineering. For practical applications of these methods a computing environment for exploratory Regression--XploRe--is described.

From the Back Cover

'Applied Nonparametric Regression' is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. This volume focuses on the applications and practical problems of two central aspects of curve smoothing the choice of smoothing parameters and the construction of confidence bounds.