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  2. Comparison of YouTube downloaders - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_YouTube_down...

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  3. Statistical parameter - Wikipedia

    en.wikipedia.org/wiki/Statistical_parameter

    Statistical parameter. World population distribution. In statistics, as opposed to its general use in mathematics, a parameter is any quantity of a statistical population that summarizes or describes an aspect of the population, such as a mean or a standard deviation. If a population exactly follows a known and defined distribution, for example ...

  4. youtube-dl - Wikipedia

    en.wikipedia.org/wiki/Youtube-dl

    youtube-dl <url> Path of the output can be specified as: (file name to be included in the path) youtube-dl -o <path> <url> To see list of all available file formats and sizes: youtube-dl -F <url> The video can be downloaded by selecting the format code from the list or typing the format manually: youtube-dl -f <format/code> <url>

  5. Consistent estimator - Wikipedia

    en.wikipedia.org/wiki/Consistent_estimator

    In statistics, a consistent estimator or asymptotically consistent estimator is an estimator —a rule for computing estimates of a parameter θ0 —having the property that as the number of data points used increases indefinitely, the resulting sequence of estimates converges in probability to θ0. This means that the distributions of the ...

  6. Parametric statistics - Wikipedia

    en.wikipedia.org/wiki/Parametric_statistics

    Parametric statistics. Parametric statistics is a branch of statistics which leverages models based on a fixed (finite) set of parameters. [1] Conversely nonparametric statistics does not assume explicit (finite-parametric) mathematical forms for distributions when modeling data. However, it may make some assumptions about that distribution ...

  7. Rao–Blackwell theorem - Wikipedia

    en.wikipedia.org/wiki/Rao–Blackwell_theorem

    The Rao–Blackwell theorem states that if g (X) is any kind of estimator of a parameter θ, then the conditional expectation of g (X) given T (X), where T is a sufficient statistic, is typically a better estimator of θ, and is never worse. Sometimes one can very easily construct a very crude estimator g (X), and then evaluate that conditional ...