Editore: John Wiley & Sons, Inc. 2000, 2000
Da: Hard to Find Books NZ (Internet) Ltd., Dunedin, OTAGO, Nuova Zelanda
Membro dell'associazione: IOBA
EUR 20,80
Quantità: 1 disponibili
Aggiungi al carrelloImperial octavo, illus heavy card boards, white lettering to black spine, ix + 611pp, illus figures, VG+ (light rubbing & soiling to boards, bookseller's labels to spine & rear board).
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 160,07
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2003
ISBN 10: 0471471356 ISBN 13: 9780471471356
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 196,03
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. From the Reviews of Nonlinear Regression "A very good book and an important one in that it is likely to become a standard reference for all interested in nonlinear regression; and I would imagine that any statistician concerned with nonlinear regression would want a copy on his shelves." -The Statistician "Nonlinear Regression also includes a reference list of over 700 entries. The compilation of this material and cross-referencing of it is one of the most valuable aspects of the book. Nonlinear Regression can provide the researcher unfamiliar with a particular specialty area of nonlinear regression an introduction to that area of nonlinear regression and access to the appropriate references . . . Nonlinear Regression provides by far the broadest discussion of nonlinear regression models currently available and will be a valuable addition to the library of anyone interested in understanding and using such models including the statistical researcher." -Mathematical Reviews.