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Mean squared error Mean squared prediction error Root-mean-square deviation Residual sum of squares Bayes estimator Total least squares Mean percentage error Least absolute deviations Least mean squares filter Least squares Mean absolute percentage error Generalized least squares Explained sum of squares Minimax approximation algorithm Empirical orthogonal functions Maximum likelihood estimation Order of integration Ordinary least squares Inverse-variance weighting Minimax estimator Delta method Root mean square Linear regression Quantile function Low-rank approximation Approximation theory Mean and predicted response Errors-in-variables models Learning rate Mean absolute error Mean square Estimator Adaptive estimator Estimating equations Geometric median Linear predictor function Bayes error rate Standard error Statistical parameter Bias of an estimator Likelihood-ratio test Mean integrated squared error Average variance extracted Empirical risk minimization Coefficient of variation Regression validation Spectral density estimation Median absolute deviation Estimation statistics Lasso Mean absolute scaled error Arithmetic mean Least-squares adjustment Mean squared displacement Bayes classifier Standardized coefficient Geometric standard deviation Geometric mean Recursive least squares filter Recursive bayesian estimation Point estimation One-way analysis of variance Regression analysis Cook's distance Similarity measure Binary regression Least-squares spectral analysis Gradient descent Cumulative distribution function Lack-of-fit sum of squares Median Normality test First-difference estimator Minimax theorem Multinomial test Effect size Coefficient of determination T-statistic Generalized estimating equation Empirical distribution function Standard score Step detection Generalized method of moments Studentized residual Mean absolute difference Regularized least squares Probability mass function Generalized additive model Evidence lower bound Akaike information criterion Optimal estimation Statistical model validation Method of mean weighted residuals Chi-squared distribution Moving least squares Stepwise regression Prediction interval Analysis of variance Quartile coefficient of dispersion Feature selection

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