least squares

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least squares

pl.n. Statistics
A method of determining the curve that best describes the relationship between expected and observed sets of data by minimizing the sums of the squares of deviation between observed and expected values.

least squares

n
(Mathematics) a method for determining the best value of an unknown quantity relating one or more sets of observations or measurements, esp to find a curve that best fits a set of data. It states that the sum of the squares of the deviations of the experimentally determined value from its optimum value should be a minimum

least′ squares′


n.
a statistical method of estimating values from a set of observations by minimizing the sum of the squares of the differences between the observations and the values to be found.
Also called least′-squares′ meth`od.
[1860–65]
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.least squares - 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
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
statistical method, statistical procedure - a method of analyzing or representing statistical data; a procedure for calculating a statistic
References in periodicals archive ?
Firstly, we estimated the linear trend and seasonal signals with Least-Squares Estimation (LSE) using all effective observations.
Though there are many books on Kalman filtering and least-squares estimation, he says, they do not analyze model structure carefully, nor describe options for improving the performance of an estimation.
4) The Callan and Thomas (2007) paper employs a two-stage least-squares estimation method.
An algorithm for least-squares estimation of nonlinear parameters, Journal of the Society of Industrial Applied Mathematics, 1963
Pulcini, G, On the maximum likelihood and least-squares estimation in the Inverse Weibull distributions, Statist.
a]) and the quadratic form of the residuals for the local line at each point are computed using the least-squares estimation technique.

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