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  2. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    v. t. e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.

  3. Bootstrap (front-end framework) - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_(front-end...

    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. As of May 2023, Bootstrap is the 17th most starred ...

  4. Dynamic Host Configuration Protocol - Wikipedia

    en.wikipedia.org/wiki/Dynamic_Host_Configuration...

    It is implemented with two UDP port numbers for its operations which are the same as for the bootstrap protocol . The server listens on UDP port number 67, and the client listens on UDP port number 68. DHCP operations fall into four phases: server discovery, IP lease offer, IP lease request, and IP lease acknowledgement.

  5. Bootstrapping (statistics) - Wikipedia

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

    Bootstrapping (statistics) Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model estimated from the data. [1] Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates. [2][3] This technique ...

  6. Bootstrapping (finance) - Wikipedia

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

    Here, the term structure of spot returns is recovered from the bond yields by solving for them recursively, by forward substitution: this iterative process is called the bootstrap method. The usefulness of bootstrapping is that using only a few carefully selected zero-coupon products, it becomes possible to derive par swap rates (forward and ...

  7. 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 ...

  8. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    The distribution of has no closed-form expression, but can be reasonably approximated by another log-normal distribution at the right tail. [35] Its probability density function at the neighborhood of 0 has been characterized [34] and it does not resemble any log-normal distribution.

  9. Glossary of mergers, acquisitions, and takeovers - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_mergers...

    Merger. An amicable involvement of two or more companies to form one unit, and to increase overall efficiency. The shareholders of merged companies are offered equivalent holdings in the new company, and old employees are generally retained. Takeovers, which are quite another matter, generate a lot more heat.