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7 relations: Deviance (statistics), Discrepancy theory, Generalized least squares, Low-discrepancy sequence, Maximum likelihood estimation, Ordinary least squares, Structural equation modeling.
Deviance (statistics)
In statistics, deviance is a goodness-of-fit statistic for a statistical model; it is often used for statistical hypothesis testing.
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Discrepancy theory
In mathematics, discrepancy theory describes the deviation of a situation from the state one would like it to be in.
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Generalized least squares
In statistics, generalized least squares (GLS) is a technique for estimating the unknown parameters in a linear regression model.
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Low-discrepancy sequence
In mathematics, a low-discrepancy sequence is a sequence with the property that for all values of N, its subsequence x1,..., xN has a low discrepancy.
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Maximum likelihood estimation
In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model, given observations.
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Ordinary least squares
In statistics, ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear regression model.
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Structural equation modeling
Structural equation modeling (SEM) includes a diverse set of mathematical models, computer algorithms, and statistical methods that fit networks of constructs to data.
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