What is Least Squares

The method of least squares is a parameter estimation method in regression analysis based on minimizing the sum of the squares of the residuals made in the results of each individual equation.

How you will benefit

(I) Insights, and validations about the following topics:

Chapter 1: Least squares

Chapter 2: Gauss-Markov theorem

Chapter 3: Regression analysis

Chapter 4: Ridge regression

Chapter 5: Total least squares

Chapter 6: Ordinary least squares

Chapter 7: Weighted least squares

Chapter 8: Simple linear regression

Chapter 9: Generalized least squares

Chapter 10: Linear least squares

(II) Answering the public top questions about least squares.

(III) Real world examples for the usage of least squares in many fields.

Who this book is for

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Least Squares.