Nonlinear Regression

✍ George A. F. Seber, C. J. Wild 📂 Library 📅 2003 🏛 Wiley 🌐 English

This text/reference provides a broad survey of aspects of model-building and statistical inference. Presents an accessible synthesis of current theoretical literature, requiring only familiarity with linear regression methods. The three chapters on central computational questions comprise a self-con

Nonlinear Regression with R

📁 Nonlinear Regression with R

✍ Christian Ritz, Jens Carl Streibig (eds.) 📂 Library 📅 2009 🏛 Springer-Verlag New York 🌐 English

R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the

Nonlinear Regression with R

📁 Nonlinear Regression with R

✍ Christian Ritz, Jens Carl Streibig (eds.) 📂 Library 📅 2009 🏛 Springer-Verlag New York 🌐 English

R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the

Nonlinear Regression with R

📁 Nonlinear Regression with R

✍ Christian Ritz, Jens Carl Streibig (eds.) 📂 Library 📅 2009 🏛 Springer-Verlag New York 🌐 English

R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the

Curve Fitting & Nonlinear Regression

📁 Curve Fitting & Nonlinear Regression

✍ G. David Garson 📂 Library 📅 2012 🏛 Statistical Associates Publishing 🌐 English

Nonlinear regression with R

📁 Nonlinear regression with R

✍ Streibig, Jens Carl;Ritz, Christian 📂 Library 📅 2009 🏛 Springer 🌐 English