Tags
- Alexander Aitken
- Asymptotic distribution
- Autocorrelation
- Bayesian linear regression
- Bias of an estimator
- Binomial regression
- Cholesky decomposition
- Conditional expectation
- Conditional probability distribution
- Confidence region
- Consistent estimator
- Convergence of random variables
- Correlation
- Covariance matrix
- Degrees of freedom
- Design matrix
- Discrete choice
- DOI
- Dunbar's number
- Efficiency
- Errors and residuals
- Errors-in-variables models
- Fixed effects model
- Gauss–Markov theorem
- Generalized estimating equation
- Generalized linear model
- General linear model
- Goodness of fit
- Heteroscedasticity
- Heteroscedasticity-consistent standard errors
- Identity matrix
- International Standard Book Number
- International Standard Serial Number
- Invertible matrix
- Isotonic regression
- Iteratively reweighted least squares
- John Johnston
- Journal of Econometrics
- JSTOR
- Least absolute deviations
- Least squares
- Least-squares spectral analysis
- Likelihood function
- Linear least squares
- Linear regression
- Local regression
- Logarithm
- Logistic regression
- Mahalanobis distance
- Mathematical optimization
- Maximum a posteriori estimation
- Maximum likelihood estimation
- Mean and predicted response
- Mixed logit
- Mixed model
- Multilevel model
- Multinomial logistic regression
- Newey–West estimator
- Non-linear least squares
- Nonlinear regression
- Nonparametric regression
- Number
- Ordered logit
- Ordered probit
- Ordinary least squares
- Partial least squares regression
- Poisson regression
- Polynomial regression
- Precision
- Principal component regression
- Prior probability
- Probit model
- Quadratic programming
- Quantile regression
- Random effects model
- Regression
- Regression analysis
- Regression validation
- Residual
- Robust regression
- Segmented regression
- Semiparametric regression
- Simple linear regression
- Statistical unit
- Statistics
- Studentized residual
- Tikhonov regularization
- Total least squares
- Variance
- Wikipedia