Introduction to Nonparametric Regression
K. Takezawa
Written for undergraduate and graduate courses, this text takes a step-by-step approach and assumes students have only a basic knowledge of linear algebra and statistics. The explanations therefore avoid complex mathematics and excessive abstract theory, and even statistical information is accompanied by clear numerical examples and equations are explained all the way through the process. Topics include smoothing out data with an equispaced predictor, nonparametric regression for a one-dimensional predictor, multidimensional smoothing, nonparametric regression with predictors represented as distributions, smoothing of histograms and nonparametric probability density functions and pattern recognition. Each chapter includes exercises.
Categorie:
Anno:
2006
Edizione:
1
Casa editrice:
Wiley-Interscience
Lingua:
english
Pagine:
557
ISBN 10:
0471771449
ISBN 13:
9780471771449
Collana:
Wiley series in probability and statistics
File:
DJVU, 3.57 MB
IPFS:
,
english, 2006
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