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  2. Geometry Dash - Wikipedia

    en.wikipedia.org/wiki/Geometry_Dash

    Geometry Dash Lite is a free version of the game with advertisements and gameplay restrictions. Geometry Dash Lite includes only main levels 1-19, all tower levels, and a few selected levels that are either Featured, Daily, weekly or Event levels but does not offer the option to create levels or play most player-made levels. It also has a ...

  3. Unbiased estimation of standard deviation - Wikipedia

    en.wikipedia.org/wiki/Unbiased_estimation_of...

    In statistics and in particular statistical theory, unbiased estimation of a standard deviation is the calculation from a statistical sample of an estimated value of the standard deviation (a measure of statistical dispersion) of a population of values, in such a way that the expected value of the calculation equals the true value.

  4. Bias of an estimator - Wikipedia

    en.wikipedia.org/wiki/Bias_of_an_estimator

    The theory of median-unbiased estimators was revived by George W. Brown in 1947: [8]. An estimate of a one-dimensional parameter θ will be said to be median-unbiased, if, for fixed θ, the median of the distribution of the estimate is at the value θ; i.e., the estimate underestimates just as often as it overestimates.

  5. Root mean square deviation - Wikipedia

    en.wikipedia.org/wiki/Root_mean_square_deviation

    For an unbiased estimator, the RMSD is the square root of the variance, known as the standard deviation. Samples If X 1 ...

  6. Gauss–Markov theorem - Wikipedia

    en.wikipedia.org/wiki/Gauss–Markov_theorem

    In statistics, the Gauss–Markov theorem (or simply Gauss theorem for some authors) [1] states that the ordinary least squares (OLS) estimator has the lowest sampling variance within the class of linear unbiased estimators, if the errors in the linear regression model are uncorrelated, have equal variances and expectation value of zero. [2]

  7. Lehmann–Scheffé theorem - Wikipedia

    en.wikipedia.org/wiki/Lehmann–Scheffé_theorem

    In statistics, the Lehmann–Scheffé theorem is a prominent statement, tying together the ideas of completeness, sufficiency, uniqueness, and best unbiased estimation. [1] The theorem states that any estimator that is unbiased for a given unknown quantity and that depends on the data only through a complete , sufficient statistic is the unique ...

  8. Mutually unbiased bases - Wikipedia

    en.wikipedia.org/wiki/Mutually_unbiased_bases

    William Wootters points out that a complete set of + unbiased bases yields a geometric structure known as a finite projective plane, while a SIC-POVM (in any dimension that is a prime power) yields a finite affine plane, a type of structure whose definition is identical to that of a finite projective plane with the roles of points and lines ...

  9. Truth condition - Wikipedia

    en.wikipedia.org/wiki/Truth_condition

    Truth conditions of a sentence do not necessarily reflect current reality. They are merely the conditions under which the statement would be true. [1] More formally, a truth condition makes for the truth of a sentence in an inductive definition of truth (for details, see the semantic theory of truth).