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  2. Bootstrapping (statistics) - Wikipedia

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

    The studentized bootstrap, also called bootstrap-t, is computed analogously to the standard confidence interval, but replaces the quantiles from the normal or student approximation by the quantiles from the bootstrap distribution of the Student's t-test (see Davison and Hinkley 1997, equ. 5.7 p. 194 and Efron and Tibshirani 1993 equ 12.22, p. 160):

  3. Bootstrap error-adjusted single-sample technique - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_error-adjusted...

    A nondestructive method is valuable. A method such as NIRA [clarification needed] can be coupled to the BEST method in the following ways. [1] Detect any tampered product by determining that it is not similar to the previously analyzed unaltered product. Quantitatively identify the contaminant from a library of known adulterants in that product.

  4. 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 ...

  5. Out-of-bag error - Wikipedia

    en.wikipedia.org/wiki/Out-of-bag_error

    One set, the bootstrap sample, is the data chosen to be "in-the-bag" by sampling with replacement. The out-of-bag set is all data not chosen in the sampling process. When this process is repeated, such as when building a random forest, many bootstrap samples and OOB sets are created. The OOB sets can be aggregated into one dataset, but each ...

  6. Bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping

    In general, bootstrapping usually refers to a self-starting process that is supposed to continue or grow without external input. Many analytical techniques are often called bootstrap methods in reference to their self-starting or self-supporting implementation, such as bootstrapping (statistics), bootstrapping (finance), or bootstrapping (linguistics).

  7. Bootstrapping (electronics) - Wikipedia

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

    Bootstrap capacitors C1 and C2 in a BJT emitter follower circuit. In analog circuit designs, a bootstrap circuit is an arrangement of components deliberately intended to alter the input impedance of a circuit. Usually it is intended to increase the impedance, by using a small amount of positive feedback, usually over two stages.

  8. Syntactic bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Syntactic_bootstrapping

    However, regardless of the method of acquisitions, there is a consensus among bootstrappers that bootstrapping theories of lexical acquisition depend on the natural link between semantic meaning and syntactic function. This syntactic-semantic link must be readily available for children to begin learning language and, therefore, must be innate.

  9. 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.