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In the News - 3 Dec: Barry Bonds Mitt Romney Rupert Murdoch Santa Claus Pearl Harbor

Topic: Curve Fitting

Vital Stats

The Brain has inferred the following facts from reading text collected on the topic:

Favorite possession(s):

Camcorder, Stereo system

Personality:

Analytical

Favorite activity(s):

Taking IQ tests

Favorite body part(s):

Brain, Ears

Interest(s):

Maths, Physics, Science

Favorite great thinker(s):

Ampere, Archimedes, Alan Turing

Favorite computer game(s):

Minesweeper, Deus Ex

Ultimate fantasy(s):

Being normal

Favorite philosopher(s):

Descartes

Worst habit(s):

Driving too fast

Favorite quote(s):

"Lottery: A tax on people who are bad at statistics."
"All truth passes through three stages. First , it is ridiculed. Second, it is violently opposed. Third, it is accepted as being self-evident." - Arthur Schopenhauer (1788-1860)

Expert Talk

The Brain has selected interesting relevant sentences from the web. It automatically assigned them to some of our fictitious experts based on their personalities.

Steve Riggins,
Software Deveoper

The polynomial curve fitting option facilitates the simulation of nonlinear features of physical devices like VCO tuning curves.
Curve fitting of Experimental Data using Non-Linear Regression If you are an experimentalist, Epogy will give you complete freedom on how to fit your data.
This new feature is a curve fitting regression technique with a graphical interface.

Sarah Kennedy,
Fashion Model

Loose fitting slacks and blouses usually downplayed the delicate curves of her body.
At the curves of his well-muscled chest and the bulge in the tight fitting jeans he sometimes wore.
In most cases this is done by fitting the original form of the model to the average of the top and bottom curves of the data set and fitting a polynomial to the difference between the top and bottom curve.

Arthur Dawkins,
Astro-physicist

Fitting models to data: we show how linear and non-linear models can be fitted to experimental data using the principle of least squares and illustrate transformation of nonlinear growth curves to allow them to be fitted by conventional regression analysis.
Fitting the spectra and the light curves with neutron star atmosphere models enables one to infer these parameters.
By fitting to all of the available data, our present method provides more reliable answers than a commonly used approach which simply fits to the width and area of the experimental contrast curves.

User Talk

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