Linear least squares

• []
• B-spline
• Beer-Lambert law
• Calibration curve
• Chemometrics
• Chi-squared distribution
• Convex function
• Cumulative distribution function
• Degrees of freedom (statistics)
• Gauss–Markov theorem
• Generalized least squares
• Gran plot
• James–Stein estimator
• Line fitting
• Line-line intersection
• Linear function
• Minimum mean square error
• Nonlinear least squares
• Normal distribution
• Numerical methods for linear least squares
• Numerical smoothing and differentiation
• Ordinary least squares
• Partial least squares regression
• Polynomial regression
• Regularized least squares
• Simple linear regression
• Standard addition
• Stein's phenomenon
• Tikhonov regularization
• Vandermonde matrix
• Weighted least squares
• arithmetic mean
• closed-form expression
• column space
• constrained least squares
• data
• data fitting
• descriptive statistics
• dominating decision rule
• errors-in-variables models
• expected value
• goodness of fit
• ill-conditioned
• iterative method
• least squares
• least squares approximation
• linear functions
• linear regression
• mathematical model
• mathematical optimization
• mathematics
• maxima and minima
• maximum likelihood
• mean squared error
• non-linear least squares
• normal distribution
• objective function
• ordinary least squares
• orthogonal polynomials
• outline of regression analysis
• overdetermined system
• parameter
• partial derivative
• polynomial
• polynomial regression
• prediction
• prior probability
• regression analysis
• regularization (mathematics)
• residual (statistics)
• residuals (statistics)
• shrinkage estimator
• statistical inference
• statistical model
• statistics
• total least squares