Green Silverman Bernard (15 results)

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condition: very_good. The book is clean and shows minor shelf ware.

hardcover. Condition: new.

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

Hardcover. Condition: New.

Condition: New. pp. 184 1st Edition.

Condition: New. In.

Condition: New.

Condition: New. pp. 184.

Hardback. Condition: New. In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be realized in regression problems, in those approached by generalized linear modelling, and in many other contexts.The emphasis throughout is methodological rather than theoretical, and it concentrates on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus.This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students and other encountering the material for the first time.…

Hardcover. Condition: Brand New. 1st edition. 184 pages. 9.00x6.00x0.75 inches. In Stock.

Hardback. Condition: New. In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be realized in regression problems, in those approached by generalized linear modelling, and in many other contexts.The emphasis throughout is methodological rather than theoretical, and it concentrates on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus.This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students and other encountering the material for the first time.…

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. P.J. Green, Bristol Univesity. Bernard. W. Silverman St. Peters College, Oxford.In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the rough.…

Condition: New. pp. 184 This item is printed on demand.