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

Statistical Tools for Nonlinear Regression, (Second Edition), presents methods for analyzing data using parametric nonlinear regression models. The new edition has been expanded to include binomial, multinomial and Poisson non-linear models. Using examples from experiments in agronomy and biochemist...

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Bibliographic Details
Main Authors: Huet, Sylvie, Bouvier, Annie, Gruet, Marie-Anne, Jolivet, E. (Emmanuel)
Format: eBook Book
Language:English
Published: New York, NY Springer 1996
Springer New York
Edition:1
Series:Springer Series in Statistics
Subjects:
Mathematical statistics
Mathematics and Statistics
Nonlinear theories
Parameter estimation
Regression analysis
Statistical Theory and Methods
Statistics
Statistics and Computing/Statistics Programs
Statistics for Life Sciences, Medicine, Health Sciences
ISBN:0387947272, 9780387947273, 9781475725254, 1475725256, 1475725248, 9781475725247
ISSN:0172-7397
Online Access:Get full text
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Table of Contents:
  • Springer Series in Statistics Statistical Tools for Nonlinear Regression A Practical Guide with S-PLUS Examples -- Statistical Tools for Nonlinear Regression -- Copyright -- Preface -- 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 -- References -- Index
  • 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 -- References.