Revolutionize Data Analysis with Weighted Least Squares and Bootstrap Method
The article discusses different methods for finding the best-fitting line or curve to a set of data points. It covers basic concepts in linear algebra, ways to solve the least-squares problem, and techniques like polynomial fitting and spline interpolation. The researchers explore weighted least squares, nonlinear least squares, and predictive least squares. They also introduce the bootstrap method for estimating uncertainties in the fitting process.