Various
mathematical curves fit these three centuries of data.
Designed high level
mathematical curve fitting algorithims for higher LADAR system range accuracy using VHDL cores and FPGA fabric.
Not exact matches
Obtaining the
mathematical curve which best
fits the registered data on earthquakes is not an easy task when dealing with large tremors.
We analyze the effects of serial position on forgetting and investigate what
mathematical equations present a good
fit to the Ebbinghaus forgetting
curve and its replications.
The student will collect and analyze data, determine the equation of the
curve of best
fit in order to make predictions, and solve real - world problems, using
mathematical models.
Fitting any type continuous
curve through long term temperature does not reflect the earth's climate variations, thus is not an acceptable
mathematical modeling technique.
What you have done here is largely a
mathematical exercise in multi-parametric
curve fitting (reminiscent of von Neumann's quip that with 5 parameters he could wiggle the ears on a mythical elephant), with but conjectural reference to unproven AHH theory.
One of the Hockey Stick team and RealClimate.org organizers named Rahmstrof used a very odd
mathematical alternative
curve shape instead of just
fitting a
curve to his data.
You simply can not predict that temperatures are going to get colder based upon a model which is simply a
mathematical fit of semi-arbitrary
curves.
«
Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints.&r
Curve fitting is the process of constructing a
curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints.&r
curve, or
mathematical function, that has the best
fit to a series of data points, possibly subject to constraints.»