– Coherent and unified treatment of nonlinear regression with R.
– Example-based approach.
– Wide area of application.
Table of ContentIntroduction. – Getting started. – Starting values and self starters. – More on nls (). – Model diagnostics. – Remedies for model variations. – Uncertainty, hypothesis testing and model selection. – Grouped data. – Appendix A: Datasets and models. – Appendix B: Self starter functions. – Appendix C: Packages and functions. – References. – Index.
Language English ● Format PDF ● Pages 148 ● ISBN 9780387096162 ● File size 1.7 MB ● Age 02-99 years ● Publisher Springer New York ● City NY ● Country US ● Published 2008 ● Downloadable 24 months ● Currency EUR ● ID 2143765 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader
More ebooks from the same author(s) / Editor
3118 Ebooks in this category
T.S.R. Murthy & B. Prabhakara Rao: Probability Theory and Stochastic Processes
The focus of this book is to understand the concepts of probability theory and stochastic processes and the techniques are exposed to analyze the situations arise from time to time in the academic …
Samprit Chatterjee & Jeffrey S. Simonoff: Handbook of Regression Analysis With Applications in R
Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive …
Muhammad Aslam & Aamir Saghir: Introduction to Statistical Process Control
An Introduction to the Fundamentals and History of Control Charts, Applications, and Guidelines for Implementation Introduction to Statistical Process Control examines various types of control …