Cantitate/Preț
Produs

Smoothing Techniques: With Implementation in S: Springer Series in Statistics

Autor Wolfgang Härdle
en Limba Engleză Paperback – 19 oct 2011
The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 63941 lei  6-8 săpt.
  Springer – 19 oct 2011 63941 lei  6-8 săpt.
Hardback (1) 64611 lei  6-8 săpt.
  Springer – 5 dec 1990 64611 lei  6-8 săpt.

Din seria Springer Series in Statistics

Preț: 63941 lei

Preț vechi: 75224 lei
-15% Nou

Puncte Express: 959

Preț estimativ în valută:
12235 12775$ 10103£

Carte tipărită la comandă

Livrare economică 15-29 aprilie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781461287681
ISBN-10: 1461287685
Pagini: 276
Ilustrații: XII, 262 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: Springer
Colecția Springer
Seria Springer Series in Statistics

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

I. Density Smoothing.- 1. The Histogram.- 2. Kernel Density Estimation.- 3. Further Density Estimators.- 4. Bandwidth Selection in Practice.- II. Regression Smoothing.- 5. Nonparametric Regression.- 6. Bandwidth Selection.- 7. Simultaneous Error Bars.- Tables.- Solutions.- List of Used S Commands.- Symbols and Notation.- References.