Description: Statistical Tools for Nonlinear Regression Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). A Practical Guide With S-PLUS and R Examples Author(s): Sylvie Huet, Anne Bouvier, Marie-Anne Poursat, Emmanuel Jolivet Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781441923011, 978-1441923011 Synopsis Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R. Several additional tools are included in the package for calculating confidence regions for functions of parameters or calibration intervals, using classical methodology or bootstrap.
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Book Title: Statistical Tools for Nonlinear Regression
Number of Pages: 234 Pages
Publication Name: Statistical Tools for Nonlinear Regression: a Practical Guide with S-Plus and R Examples
Language: English
Publisher: Springer-Verlag New York Inc.
Item Height: 235 mm
Subject: Mathematics, Healthcare System
Publication Year: 2010
Type: Textbook
Item Weight: 790 g
Author: Marie-Anne Poursat, Emmanuel Jolivet, Anne Bouvier, Sylvie Huet
Item Width: 155 mm
Series: Springer Series in Statistics
Format: Paperback
