Polynomial Regression through Least Square Method - Maple Application Center

Polynomial Regression through Least Square Method - Maple Application Center

お問合せ見積もり依頼

Submit your work

Application Center Applications Polynomial Regression through Least Square Method

Polynomial Regression through Least Square Method

Author

: Prof. David Macias Ferrer

Engineering software solutions from Maplesoft

This Application runs in Maple. Don't have Maple? No problem!

Try Maple free for 15 days!

The goals of this document are to show the approximation of a Point Dispersion through Quadratic Regression Polynomials using the Least Square Method and Maple 10 tools.

Application Details

Publish Date: November 21, 2006
Created In: Maple 10
Language: English

Share

Copy URL

This application is in the following Collection:

More Like This

Interactive Country Data Explorer

Mathematics for Chemistry

Quality Control of a Paint Production Process

Maplesoft Author Maplesoft

Classroom Tips and Techniques: Least-Squares Fits

Maplesoft Author Dr. Robert Lopez

Multivariate Distributions In Maple

Generation of correlated random numbers

Phase Plane for Two-Dimensional Autonomous System

Prof. David Macias Ferrer

The Advanced Encryption Standard and its modes of operation

José Luis Gómez Pardo

Hamiltonian Systems

Prof. David Macias Ferrer

Regression and Data Fitting in Maple

Maplesoft Author Maplesoft

Decision Analysis using Bayes Rule

Math Apps in Maple

Maplesoft Author Maplesoft