10067
EXPLORE
LATEST
ABOUT
AUTHORING AREA
PARTICIPATE
Your browser does not support JavaScript or it may be disabled!
Fitting Noisy Data
Polynomials can be used to fit noisy data. This Demonstration allows you to explore the relationship between the terms in a fit and the shape of the fit. You can experiment with different sets of powers to use.
Contributed by:
Rob Morris
THINGS TO TRY
Slider Zoom
SNAPSHOTS
RELATED LINKS
Least Squares Fitting
(
Wolfram
MathWorld
)
PERMANENT CITATION
"
Fitting Noisy Data
" from
the Wolfram Demonstrations Project
http://demonstrations.wolfram.com/FittingNoisyData/
Contributed by:
Rob Morris
Share:
Embed Interactive Demonstration
New!
Just copy and paste this snippet of JavaScript code into your website or blog to put the live Demonstration on your site.
More details »
Download Demonstration as CDF »
Download Author Code »
(preview »)
Files require
Wolfram
CDF Player
or
Mathematica
.
Related Demonstrations
More by Author
Fitting a Curve to Five Points
Rob Morris
Frequency Spectrum of a Noisy Signal
Jon McLoone
Interpolating a Set of Data
Stephen Wolfram
Fit, Interpolation, or Polynomial Interpolation in Uncertain Calculus
Valter Yoshihiko Aibe and Mikhail Dimitrov Mikhailov, INMETRO, Brazil
Curve Fitting
Theodore Gray
Fitting an Elephant
Roger J. Brown
Interactive Curve Fitting
Janos Karsai (University of Szeged, Hungary)
Linear and Quadratic Curve Fitting Practice
Jon McLoone
Comparing Least-Squares Fit and Least Absolute Deviations Fit
Frank Brechtefeld
Mean, Fitted-Value, Error, and Residual in Simple Linear Regression
Ian McLeod
Related Topics
Approximation Methods
Data Analysis
Experimental Methods
Statistics
High School Advanced Calculus and Linear Algebra
High School Mathematics
High School Statistics
Browse all topics
Note: To run this Demonstration you need Mathematica 7+ or the free Mathematica Player 7EX
Download or upgrade to
Mathematica Player 7EX
I already have
Mathematica Player
or
Mathematica 7+