The R Book || Non-linear Regression

The R Book (Crawley/The R Book) || Non-L

The R Book (Crawley/The R Book) || Non-Linear Regression

✍ Crawley, Michael J. 📂 Article 📅 2012 🏛 John Wiley & Sons, Ltd 🌐 English ⚖ 284 KB

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software

The R Book || Regression

✍ Crawley, Michael J. 📂 Article 📅 2007 🏛 John Wiley & Sons, Ltd ⚖ 527 KB

Pseudo non-linear regression

✍ N.O. Lemcoff 📂 Article 📅 1977 🏛 Elsevier Science ⚖ 290 KB

The R Book (Crawley/The R Book) || Regre

The R Book (Crawley/The R Book) || Regression

✍ Crawley, Michael J. 📂 Article 📅 2012 🏛 John Wiley & Sons, Ltd 🌐 English ⚖ 589 KB

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software

Non-linear mixed regression models

✍ Richard T. Burnett; W. H. Ross; Daniel Krewski 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 832 KB

In this paper we present an estimating equation approach to statistical inference for non-linear random effects regression models for correlated data. With this approach, the distribution of the observations and the random effects need not be specified; only their expectation and covariance structur

Robust non-linear regression analysis

✍ Tapon Roy 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 402 KB