Least squares is the name of a procedure in mathematics, to construct a function from a number of observed values. The basic idea is to construct the function in such a way that the sum of the difference between the observed value and its data point is minimized. Since the difference may go in either direction, the value of the difference is squared, for each value.
Carl Friedrich Gauss said he developed the method in 1795. He used it to recover the lost asteroid 1 Ceres and published it in 1807. He used ideas from Pierre-Simon Laplace. Adrien-Marie Legendre developed the same method independently, in 1805.
Related pages
Further reading
- Lawson, C. L., & Hanson, R. J. (1995). Solving least squares problems (Vol. 15). SIAM.
- Bjorck, A. (1996). Numerical methods for least squares problems (Vol. 51). SIAM.
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| Computational statistics |
- Least squares
- Linear least squares
- Non-linear least squares
- Iteratively reweighted least squares
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| Correlation and dependence | |
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| Regression analysis | |
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Regression as a statistical model | | Linear regression |
- Ordinary least squares
- Simple linear regression
- Generalized least squares
- Weighted least squares
- General linear model
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| Predictor structure |
- Polynomial regression
- Growth curve (statistics)
- Segmented regression
- Local regression
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| Non-standard |
- Nonlinear regression
- Nonparametric
- Semiparametric
- Robust
- Quantile
- Isotonic
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| Non-normal errors |
- Generalized linear model
- Binomial
- Poisson
- Logistic
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| Decomposition of variance |
- Analysis of variance
- Analysis of covariance
- Multivariate AOV
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| Model exploration |
- Stepwise regression
- Model selection
- Model specification
- Regression validation
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| Background |
- Mean and predicted response
- Gauss–Markov theorem
- Errors and residuals
- Goodness of fit
- Studentized residual
- Minimum mean-square error
- Frisch–Waugh–Lovell theorem
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| Design of experiments |
- Response surface methodology
- Optimal design
- Bayesian design
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| Numerical approximation | |
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| Applications |
- Curve fitting
- Calibration curve
- Numerical smoothing and differentiation
- System identification
- Moving least squares
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| Authority control databases: National | |
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