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Minimum mean square errorLeast squaresLeast-squares adjustmentMinimax approximation algorithmLeast mean squares filterTotal least squaresLassoResidual sum of squaresMean squared errorRoot-mean-square deviationLow-rank approximationRestricted maximum likelihoodGeneralized least squaresLeast fixed pointMinimax estimatorLagrange multiplierNon-negative least squaresDelta methodBayes estimatorMean absolute percentage errorInverse-variance weightingLeast-squares spectral analysisMean absolute differenceMoving least squaresCoefficient of variationEmpirical risk minimizationQuantile functionLeast-angle regressionOrdinary least squaresRecursive least squares filterSample maximum and minimumBayes error rateCumulative distribution functionMaximum likelihood estimationGeometric medianLinear programmingExplained sum of squaresLikelihood-ratio testMinimaxRegularized least squaresMean squared prediction errorLowest common denominatorMean percentage errorStationary-action principleApproximation theoryLinear least squaresGradient descentMin-entropyReduced costLocal optimumLearning rateOrdinal regressionLinear regressionConstrained optimizationStandard scoreEvidence lower boundOrder of integrationChebyshev distanceLanczos algorithmGeometric standard deviationMedian absolute deviationLeast-upper-bound propertyCook's distanceDecouplingGeometric meanLasalle's invariance principleLinear predictor functionScore testStandardized coefficientIsotonic regressionAlternating series testPolynomial interpolationMean squared displacementEmpirical orthogonal functionsAdaptive estimatorNormality testSubadditivityPartial least squares regressionDetection limitLinear discriminant analysisMaxima and minimaLack-of-fit sum of squaresSecond partial derivative testInfimum and supremumNon-linear least squaresStatistical parameterArithmetic meanCorrelation ratioShortest path problemRoot mean squareRegression analysisConsistent estimatorExtreme value theoryRegression validationAverage variance extractedKabsch algorithmGraphical lassoRandom sample consensusLebesgue differentiation theoremDerivative-free optimization