What is curve fitting and why we study it? Curve fitting refers to finding an appropriate mathematical model that expresses the relationship between a dependent variable Y and a single independent variable X and estimating the values of its parameters using Linear or nonlinear regression. Two types of curve fitting Least square regression Given data for discrete values, derive a single curve that represents the general trend of the data. When the given data exhibit a significant degree of error or noise. Interpolation Given data for discrete values, fit a curve or a series of curves that pass directly through each of the points. When data are very precise. Interpolation and Approximation Tamiru G. G. (MSc)
[email protected] ASTU – EPCE Dpt 2 Data are often given for discrete values along a continuum. However, you may require estimates at points between the discrete values. (x ,y ), (x 1 , y 1 ),………………….,( x n ,y n )