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  2. Bootstrapping (statistics) - Wikipedia

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

    Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods. Bootstrapping assigns measures of accuracy ( bias, variance, confidence intervals, prediction error, etc.) to sample estimates.

  3. Bootstrapping (finance) - Wikipedia

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

    In finance, bootstrapping is a method for constructing a (zero-coupon) fixed-income yield curve from the prices of a set of coupon-bearing products, e.g. bonds and swaps.. A bootstrapped curve, correspondingly, is one where the prices of the instruments used as an input to the curve, will be an exact output, when these same instruments are valued using this curve.

  4. Particle filter - Wikipedia

    en.wikipedia.org/wiki/Particle_filter

    These abstract probabilistic models encapsulate genetic type algorithms, particle, and bootstrap filters, interacting Kalman filters (a.k.a. Rao–Blackwellized particle filter), importance sampling and resampling style particle filter techniques, including genealogical tree-based and particle backward methodologies for solving filtering and ...

  5. C (programming language) - Wikipedia

    en.wikipedia.org/wiki/C_(programming_language)

    C (pronounced / ˈ s iː / – like the letter c) is a general-purpose computer programming language.It was created in the 1970s by Dennis Ritchie, and remains very widely used and influential.

  6. OpenCms - Wikipedia

    en.wikipedia.org/wiki/OpenCms

    OpenCms runs on the Java platform as a servlet. It uses several libraries provided by the Apache foundation. The user interface has been developed using Vaadin and the Google Web Toolkit . The OpenCms content repository is stored in a database, with MariaDB, MySQL, PostgreSQL, HSQLDB, Oracle, MSSQL and IBM Db2 being natively supported.

  7. Omnibus test - Wikipedia

    en.wikipedia.org/wiki/Omnibus_test

    Omnibus tests are a kind of statistical test. They test whether the explained variance in a set of data is significantly greater than the unexplained variance, overall. One example is the F-test in the analysis of variance. There can be legitimate significant effects within a model even if the omnibus test is not significant.

  8. Statistical hypothesis test - Wikipedia

    en.wikipedia.org/wiki/Statistical_hypothesis_test

    A bootstrap creates numerous simulated samples by randomly resampling (with replacement) the original, combined sample data, assuming the null hypothesis is correct. The bootstrap is very versatile as it is distribution-free and it does not rely on restrictive parametric assumptions, but rather on empirical approximate methods with asymptotic ...

  9. CSS - Wikipedia

    en.wikipedia.org/wiki/CSS

    Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript-based design templates for typography, forms, buttons, navigation, and other interface components.