Howtosignalprocessing
- What do you mean by curve fitting?
- What are different types of curve fitting?
- What is the formula for curve fitting?
- How important is the curve fitting in the data?
What do you mean by curve fitting?
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.
What are different types of curve fitting?
Other types of curves, such as conic sections (circular, elliptical, parabolic, and hyperbolic arcs) or trigonometric functions (such as sine and cosine), may also be used, in certain cases.
What is the formula for curve fitting?
The highest-order polynomial that Trendline can use as a fitting function is a regular polynomial of order six, i.e., y = ax6 + bx5 +cx4 + ak3 + ex2 +fx + g.
How important is the curve fitting in the data?
Almost any statistical analysis relies on curve fitting. The obvious question is that, if you have data then why fit a mathematical equation. Large data requires a lot of storage space and a single mathematical formula doesn't. Interpolation is easier.
