Statistical tools for nonlinear regression. A practical guide with S-PLUS examples
type: Item
instance of: scholarly article
title: Statistical tools for nonlinear regression. A practical guide with S-PLUS examples
zbMATH Open document ID: 0867.62059
author: Marie-Anne Gruet
author: Emmanuel Jolivet
author: Sylvie Huet
author: Annie Bouvier
published in: Springer Series in Statistics
publication date: 1996-10-10T00:00:00Z
review text: The book is devoted to nonlinear regression analysis with independent errors. The theoretical grounds are not developed, the authors explain the solutions using intuitive arguments. The first chapter introduces several examples. Each example illustrates a different problem. The authors show how to methodically handle practical problems by using parametric nonlinear regression models. Chapter 2 is devoted to the accuracy of estimators, confidence intervals and tests. Chapter 3 introduces some new examples and presents methods for handling nonlinear regression models when the variances are heterogeneous with a few or no replications. Chapter 4 is devoted to diagnostics of model misspecification. Chapter 5 describes how to calculate prediction and calibration confidence intervals. At the end of each chapter the authors provide a step-by-step description of the \(S\)-PLUS statistical system.
Mathematics Subject Classification ID: 62J02
Mathematics Subject Classification ID: 62-01
Mathematics Subject Classification ID: 62-04
Mathematics Subject Classification ID: 62J20
zbMATH DE Number: 933469
zbMATH Keywords: S-PLUS
zbMATH Keywords: independent errors
zbMATH Keywords: model misspecification
zbMATH Keywords: prediction
zbMATH Keywords: calibration confidence intervals
reviewed by: Nikolai N. Leonenko
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 933469