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the technique of curve fitting is used in many engineering streames and one of its important applications is that it is also used in industries to study the performance of the company and also to predit the future performence of the company. it very much helps in finiding out operational profit margin (OPM).
What else can I help you with?
Will a victaulic fitting work as a dielectric?
Victaulic makes a dielectric fitting that could solve your issue.
In what region of their characteristic curve are zener diodes operated?
Zener diodes are normally operated in their reverse breakdown voltage curve.
Max weight of shade for standard ceiling light fitting?
I was told by a lighting specialist that code for the UK is 2.2kg for the light fitting before additional support is needed
What is conduit fitting?
Conduit fitting is used on metal pipes that house electrical wires. These fittings are not only to connect the various pieces together, but to keep a relatively water tight seal to the wires.
What are application of doorbell?
application of multi door calling bell
What is the difference between curve fitting and regression?
curve fitting is a very difficult and time wasting method while regrresion is more to use as compare to curve fitting
What is the standard hose fitting size for this particular application?
The standard hose fitting size for this application is 3/4 inch.
Concept and application on learning curve theory?
cost accounting concept and application on learning curve theory to be anwered
How is curve fitting used in mathematics?
Curvie fitting is used in mathematics to find a mathematicalmodel that fits your data. The curve fit fins the specific parameters which make that function match your data as closely as possible.
What is computer BE?
Bachelor of Enggineering in Computers ...
What is Least Square Curve fitting and residual values?
Least Squares Curve Fitting is a statistical method used to determine the best-fitting curve for a set of data points by minimizing the sum of the squares of the differences (residuals) between the observed values and the values predicted by the curve. The residual values are these differences, representing the errors in prediction; they indicate how far each data point is from the curve. By minimizing these residuals, the least squares method provides a curve that best represents the underlying trend of the data. This technique is widely used in various fields, including economics, biology, and engineering, for data analysis and modeling.
What video chat application can you use on your blackberry curve?
marin
Did i know my aggregate?
did i know my enggineering aggregate percentage?
What has the author Ian Grant Sinclair written?
Ian Grant Sinclair has written: 'Curve fitting by orthogonal polynomials'
What has the author P G Guest written?
P. G. Guest has written: 'Numerical methods of curve fitting'
What has the author S Srinivasan written?
S. Srinivasan has written: 'Simplified curve fits for the thermodynamic properties of equilibrium air' -- subject(s): Curve fitting, Equilibrium air, Thermodynamic properties
The best enggineering college in Bangalore?
MS Ramaiah Institute of Tecnology
