Most voted "square-minima" questions

The Ordinary Minimum Squares Method (MQO) or OLS (Ordinary Least Squares) is a mathematical optimization technique that seeks to find the best fit for a data set trying to minimize the sum of the squares of the differences between the estimated value and the observed data (such differences are called residues).

• 4

  votes

  1

  answer

  941

  views

  How to create invertible random matrices in R

  One of the ways to find the estimator using the method of least ordinary squares is by generating random matrices, given by the formula: B = (X’ X)^-1 X’Y Where Y = a+bx+cw+u, being x and w random…

  r array random-numbers square-minima

  asked 10 years, 9 months ago Livia 43

• 0

  votes

  0

  answers

  64

  views

  CHALLENGE: MQO curve adjustment or similar with minimization of other types of error measurements

  Context The MQO (ordinary least squares) method is known to receive: a function model f parameter x (which can represent several parameters) from a model with coefficients c[1], c[2], ..., c[o],…

  algorithm performance mathematics numerical-analysis square-minima

  asked 5 years, 4 months ago RHER WOLF 1,529