statistics, the bias of an estimator (or bias function) is the difference between this estimator's expected value and the true value of the parameter being...

statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity of interest...

be an unbiased estimator of θ {\displaystyle \theta } ; otherwise, it is said to be a biased estimator of θ {\displaystyle \theta } . The bias of a statistic...

an unbiased estimator of the variance of x ¯ {\displaystyle {\bar {x}}} . The jackknife technique can be used to estimate (and correct) the bias of an...

statistics, a consistent estimator or asymptotically consistent estimator is an estimator—a rule for computing estimates of a parameter θ0—having the...

precision Bias of an estimator Double descent Gauss–Markov theorem Hyperparameter optimization Law of total variance Minimum-variance unbiased estimator Model...

squared deviation (MSD) of an estimator (of a procedure for estimating an unobserved quantity) measures the average of the squares of the errors—that is,...

The ratio estimator is a statistical estimator for the ratio of means of two random variables. Ratio estimates are biased and corrections must be made...

valuePages displaying short descriptions of redirect targets Bias of an estimator – Difference between an estimator's expected value from a parameter's true...

typical of a population Estimator bias, a bias from an estimator whose expectation differs from the true value of the parameter Personal equation, a concept...