least squares fitting

  • 11least squares — noun plural Date: 1825 a method of fitting a curve to a set of points representing statistical data in such a way that the sum of the squares of the distances of the points from the curve is a minimum …

    New Collegiate Dictionary

  • 12least squares — noun a method of estimating a quantity or fitting a graph to data so as to minimize the sum of the squares of the differences between the observed values and the estimated values …

    English new terms dictionary

  • 13Total least squares — The bivariate (Deming regression) case of Total Least Squares. The red lines show the error in both x and y. This is different from the traditional least squares method which measures error parallel to the y axis. The case shown, with deviations… …

    Wikipedia

  • 14Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …

    Wikipedia

  • 15Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… …

    Wikipedia

  • 16method of least squares — noun a method of fitting a curve to data points so as to minimize the sum of the squares of the distances of the points from the curve • Syn: ↑least squares • Topics: ↑statistics • Hypernyms: ↑statistical method, ↑statistical procedure * * * …

    Useful english dictionary

  • 17Ordinary Least Squares — Die Regressionsanalyse ist ein statistisches Analyseverfahren. Ziel ist es, Beziehungen zwischen einer abhängigen und einer oder mehreren unabhängigen Variablen festzustellen. Allgemein wird eine metrische Variable Y betrachtet, die von einer… …

    Deutsch Wikipedia

  • 18Least absolute deviations — (LAD), also known as Least Absolute Errors (LAE), Least Absolute Value (LAV), or the L1 norm problem, is a mathematical optimization technique similar to the popular least squares technique that attempts to find a function which closely… …

    Wikipedia

  • 19Log-linear least-squares method — A statistical technique for fitting a curve to a set of data points. One of the variables is transformed by taking its logarithm, and then a straight line is fitted to the transformed set of data points. The New York Times Financial Glossary …

    Financial and business terms

  • 20log-linear least-squares method — A statistical technique for fitting a curve to a set of data points. One of the variables is transformed by taking its logarithm , and then a straight line is fitted to the transformed set of data points. Bloomberg Financial Dictionary …

    Financial and business terms