Format:
1 Online-Ressource (xv, 333 pages)
,
digital, PDF file(s)
ISBN:
9781139052139
Series Statement:
Econometric Society monographs 19
Content:
Applied Nonparametric Regression is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs have made curve estimation possible. 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. Härdle argues that all smoothing methods are based on a local averaging mechanism and can be seen as essentially equivalent to kernel smoothing. To simplify the exposition, kernel smoothers are introduced and discussed in great detail. Building on this exposition, various other smoothing methods (among them splines and orthogonal polynomials) are presented and their merits discussed. All the methods presented can be understood on an intuitive level; however, exercises and supplemental materials are provided for those readers desiring a deeper understanding of the techniques. The methods covered in this text have numerous applications in many areas using statistical analysis. Examples are drawn from economics as well as from other disciplines including medicine and engineering
Content:
pt. I. Regression smoothing. Introduction -- Basic idea of smoothing -- Smoothing techniques -- pt. II. The kernel method. How close is the smooth to the true curve? -- Choosing the smoothing parameter -- Data sets with outliers -- Nonparametric regression techniques for correlated data -- Looking for special features and qualitative smoothing -- Incorporating parametric components -- pt. III. Smoothing in high dimensions. Investigating multiple regression by additive models
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Additional Edition:
ISBN 9780521382489
Additional Edition:
ISBN 9780521429504
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780521382489
Language:
English
DOI:
10.1017/CCOL0521382483
URL:
Volltext
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