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Statistical tools for nonlinear regression : a practical guide with S-PLUS examples

Author: S Huet
Publisher: New York : Springer, ©1996.
Series: Springer series in statistics.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Statistical Tools for Nonlinear Regression 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  Read more...
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Additional Physical Format: Online version:
Statistical tools for nonlinear regression.
New York : Springer, ©1996
(OCoLC)622923587
Document Type: Book
All Authors / Contributors: S Huet
ISBN: 0387947272 9780387947273
OCLC Number: 34356962
Description: ix, 154 pages : illustrations ; 24 cm.
Contents: 1. Nonlinear regression model and parameter estimation --
2. Accuracy of estimators, confidence intervals and tests --
3. Variance estimation --
4. Diagnostics of model misspecification --
5. Calibration and Prediction.
Series Title: Springer series in statistics.
Responsibility: Sylvie Huet [and others].

Abstract:

Presenting methods for analysing data using parametric nonlinear regression models, this text uses examples from experiments in agronomy and biochemistry, and shows how to apply the methods. The book  Read more...

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