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1. The least squares method (LSM) is a popular statistical technique for estimating unknown parameters in a set of observations. It works by minimizing the sum of the squared residuals between the observed responses and the fitted responses from the parameter estimates. 2. LSM was first developed in the early 19th century by Legendre and Gauss but its modern use in statistics is traced to Galton in the 1880s. It is now widely used for linear regression and nonlinear curve fitting. 3. LSM provides the be

Author

Mohd Faiz Mohd Zin

Language

EN