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Download Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics) djvu

Download Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics) djvu

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

Author: Sylvie Huet,Anne Bouvier,Marie-Anne Poursat,Emmanuel Jolivet
Subcategory: Biological Sciences
Language: English
Publisher: Springer; 2nd edition (September 12, 2003)
Pages: 234 pages
Category: Math and Science
Rating: 4.9
Other formats: mobi lrf docx lrf

Springer Series in Statistics. Users of S-PLUS or R who do nonlinear estimation would certainly want a copy of this book.

Springer Series in Statistics. Statistical Tools for Nonlinear Regression. The wealth of applications and code for using the specialized software transcends the limitation of the applications to medicine and biology. Technometrics, May 2004.

The book includes methods based on classical nonlinear regression theory and more modern methods such as the bootstrap that have . The examples are analyzed with the software program nls2 implemented in S-PLUS.

The book includes methods based on classical nonlinear regression theory and more modern methods such as the bootstrap that have proven effective in practice. Скачать (pdf, 1. 2 Mb) Читать.

Users of S-PLUS or R who do nonlinear estimation would certainly want a. .

Users of S-PLUS or R who do nonlinear estimation would certainly want a copy of this book.

Rev. ed. of: Statistical tools for nonlinear regression, Sylvie Huet. Includes bibliographical references and index.

Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples Author: S. Huet, A. Bouvier, M. -A. Poursat, E. Jolivet Published by Springer New York ISBN: 978-0-387-40081-5 DOI: 1. 007/b97288. Table of Contents: Nonlinear Regression Model and Parameter Estimation. Accuracy of Estimators, Confidence Intervals and Tests. Diagnostics of Model Misspecification. Calibration and Prediction. Binomial Nonlinear Models. Rev. New York, NY Doi. 1.

Электронная книга "Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples", Sylvie Huet, Anne Bouvier, Marie-Anne Poursat, Emmanuel Jolivet

Электронная книга "Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples", Sylvie Huet, Anne Bouvier, Marie-Anne Poursat, Emmanuel Jolivet. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples" для чтения в офлайн-режиме.

Sylvie Huet, Anne Bouvier, Marie-Anne Poursat, Emmanuel Jolivet. ISBN 13: 9780387400815. Series: Springer Series in Statistics. File: PDF, . 9 MB. Читать онлайн. Скачать (pdf, . 9 Mb).

Environmental Statistics with S-Plus.

Sylvie Huet, Annie Bouvier, Marie-Anne Poursat and Emmanuel Jolivet, Springer, New York, 2004. Article in Statistics in Medicine 24(13):2105-2106 · July 2005 with 55 Reads. How we measure 'reads'. We have solved with PSG several medium and large problems from the SPARCO toolbox in LASSO formulation (minimize L2-error plus the weighted sum of absolute values of the solution vector). Environmental Statistics with S-Plus. Steven P. Millard and Nagaraj K. Neerchal.

Start by marking Statistical Tools For Nonlinear Regression: A Practical .

Start by marking Statistical Tools For Nonlinear Regression: A Practical Guide With S Plus And R Examples (Springer Series In Statistics) as Want to Read: Want to Read savin. ant to Read. The nls2 package is implemented in S-PLUS and R. Its main advantages are to make the model building, estimation and validation tasks, easy to do. More precisely, Complex models can be easily described using a symbolic syntax. The regression function as well as the variance function can be defined explicitly as functions of independent variables and of unknown parameters or they can be defined as the solution to a system of differential equations.

ISBN 13: 978-0-387-21574-7. 6 MB.

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.