Nonlinear Regression With R

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Nonlinear Regression with R

Author	: Christian Ritz
Publisher	: Springer Science & Business Media
Total Pages	: 151
Release	: 2008-12-11
ISBN-10	: 9780387096162
ISBN-13	: 0387096167
Rating	: 4/5 (167 Downloads)

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Book Synopsis Nonlinear Regression with R by : Christian Ritz

Download or read book Nonlinear Regression with R written by Christian Ritz and published by Springer Science & Business Media. This book was released on 2008-12-11 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.

Nonlinear Regression with R Related Books

Language: en
Pages: 151

Nonlinear Regression with R

Authors: Christian Ritz

Categories: Mathematics

Type: BOOK - Published: 2008-12-11 - Publisher: Springer Science & Business Media

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- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.

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Statistical Tools for Nonlinear Regression

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Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear mod

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Robust Nonlinear Regression

Authors: Hossein Riazoshams

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Type: BOOK - Published: 2018-08-20 - Publisher: John Wiley & Sons

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The first book to discuss robust aspects of nonlinear regression—with applications using R software Robust Nonlinear Regression: with Applications using R cov

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Pages: 402

Nonlinear Regression Modeling for Engineering Applications

Authors: R. Russell Rhinehart

Categories: Mathematics

Type: BOOK - Published: 2016-09-26 - Publisher: John Wiley & Sons

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Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which co

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Nonlinear Regression Analysis and Its Applications

Authors: Douglas M. Bates

Categories: Mathematics

Type: BOOK - Published: 2007-04-23 - Publisher: Wiley-Interscience

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Provides a presentation of the theoretical, practical, and computational aspects of nonlinear regression. There is background material on linear regression, inc