Example image of eyePlorer eyePlorer map for 'Sample mean and sample covariance': Statistic Dimension Independence (probability theory) Probability distribution Random sample Random variable Realization (probability) Sample mean and sample covariance Bias of an estimator Covariance matrix Matrix (mathematics) Mean Estimation of covariance matrices Maximum likelihood Normal distribution Normalizing constant Weighted mean Unbiased estimation of standard deviation Berry–Esseen theorem Ensemble Kalman filter Hotelling's T-square distribution Scatter matrix Tukey's test Trimean Behrens–Fisher problem Fieller's theorem Law of large numbers Overdispersion Resampled efficient frontier Sampling distribution SigSpec Taguchi methods Index of statistics articles Expected value Mauchly's sphericity test Monte Carlo integration Empirical measure Symmetric function Price equation Grubbs' test for outliers Principal component analysis Sample (statistics) Centering matrix Data assimilation Geometric distribution Efficiency (statistics) Minimum-variance unbiased estimator Standard score Skewness Covariance