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2. Mobirise - Wikipedia

   en.wikipedia.org/wiki/Mobirise

   WYSIWYG Website builder, HTML editor. License. Freeware. Website. mobirise.com. Mobirise is a freeware web design application that allows users to design and publish bootstrap websites without coding. [3] Mobirise is essentially a drag and drop website builder, [4] featuring various website themes. It is headquartered in Eindhoven, Netherlands.

3. Heckman correction - Wikipedia

   en.wikipedia.org/wiki/Heckman_correction

   Heckman correction. The Heckman correction is a statistical technique to correct bias from non-randomly selected samples or otherwise incidentally truncated dependent variables, a pervasive issue in quantitative social sciences when using observational data. [1] Conceptually, this is achieved by explicitly modelling the individual sampling ...

4. 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 ...

5. Bang–bang control - Wikipedia

   en.wikipedia.org/wiki/Bang–bang_control

   In control theory, a bang–bang controller (hysteresis, 2 step or on–off controller), is a feedback controller that switches abruptly between two states. These controllers may be realized in terms of any element that provides hysteresis. They are often used to control a plant that accepts a binary input, for example a furnace that is either ...

6. Bootstrap aggregating - Wikipedia

   en.wikipedia.org/wiki/Bootstrap_aggregating

   t. e. In machine learning (ML), bootstrap aggregating, also called bagging (from b ootstrap agg regat ing) or bootstrapping, is an ensemble metaheuristic for primarily reducing variance (as opposed to bias). It can also improve the stability and accuracy of ML classification and regression algorithms, and can reduce overfitting.

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 ...