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  2. Template:Basic forms of government - Wikipedia

    en.wikipedia.org/wiki/Template:Basic_forms_of...

    Can be set to "all" to expand all sub-headings. Can be set to "collapsed" to collapse all sub-headings. (default view) Can be set to "Democracy" to expand Democracy sub-heading.

  3. Resampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Resampling_(statistics)

    The best example of the plug-in principle, the bootstrapping method. Bootstrapping is a statistical method for estimating the sampling distribution of an estimator by sampling with replacement from the original sample, most often with the purpose of deriving robust estimates of standard errors and confidence intervals of a population parameter like a mean, median, proportion, odds ratio ...

  4. AOL

    login.aol.com/?lang=en-gb&intl=uk

    Sign in to AOL Mail, a free and secure email service with advanced settings, mobile access, and personalized compose. Get live help from AOL experts if needed.

  5. Bootstrapping (electronics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(electronics)

    Bootstrapping is a technique in the field of electronics where part of the output of a system is used at startup.. A bootstrap circuit is one where part of the output of an amplifier stage is applied to the input, so as to alter the input impedance of the amplifier.

  6. Glasshouse (novel) - Wikipedia

    en.wikipedia.org/wiki/Glasshouse_(novel)

    The novel is set in the 27th century aboard a spacecraft adrift in interstellar space.Robin, the protagonist, has recently had his memory erased.He agrees to take part in an experiment, during which he is placed inside a model of a late 20th/early 21st century Euroamerican society.

  7. Particle filter - Wikipedia

    en.wikipedia.org/wiki/Particle_filter

    The state-space model can be nonlinear and the initial state and noise distributions can take any form required. Particle filter techniques provide a well-established methodology [ 2 ] [ 4 ] [ 5 ] for generating samples from the required distribution without requiring assumptions about the state-space model or the state distributions.

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