ENGLISH

Statistical Tools for Nonlinear Regression

By Sylvie Huet , Anne Bouvier , Marie-Anne Poursat , Emmanuel Jolivet

Book information

Publisher
Springer
Year
2003
ISBN
9780387400815, 0-387-40081-8, 0-387-95414-7, 0-387-95537-2
LCC
QA278.2 .H84 2004
Open Library ID
OL3686700M
Language
english
Format
PDF
Filesize
2 MB (2034003 bytes)
Series
Springer Series in Statistics
Edition
2nd
Pages
241\241
Library
Springer
Time added
2009-08-06 07:02:15

Description

This book presents methods for analyzing data using parametric nonlinear regression models. Using examples from experiments in agronomy and biochemistry, it shows how to apply the methods. Aimed at scientists who are not familiar with statistical theory, it concentrates on presenting the methods in an intuitive way rather than developing the theoretical grounds. The book includes methods based on classical nonlinear regression theory and more modern methods such as the bootstrap that have proven effective in practice. The examples are analyzed with the software program nls2 implemented in S-PLUS.

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