fitting algorithm 1. Maximum likelihood estimators 2. Least squares estimators 3. EM algorithm for estimation of multivariant gaussian distribution (mixed gaussians)
This chapter provides an introduction to curve fitting. It includes information on the following topics: • The purpose of performing curve fits. • The types of curve fits that are available in KaleidaGraph. • Choosing an appropriate curve fit model.
Curve-Fitting: The Science and Art of Approximation by D. James Benton English | 31 Aug 2016 | ASIN: B01LDUK032 | 166 Pages | AZW3/MOBI/EPUB/PDF (conv) | 8.39 MB This is a how-to guide on the approximation of data. There are many books and articles
