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2. 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 ...

3. 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 ...

4. Responsive web design - Wikipedia

   en.wikipedia.org/wiki/Responsive_web_design

   v. t. e. Responsive web design (RWD) or responsive design is an approach to web design that aims to make web pages render well on a variety of devices and window or screen sizes from minimum to maximum display size to ensure usability and satisfaction. [1][2] A responsive design adapts the web-page layout to the viewing environment [1] by using ...

5. 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.

6. Bootstrapping populations - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping_populations

   Bootstrapping populations in statistics and mathematics starts with a sample {, …,} observed from a random variable.. When X has a given distribution law with a set of non fixed parameters, we denote with a vector , a parametric inference problem consists of computing suitable values – call them estimates – of these parameters precisely on the basis of the sample.

7. 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 ...

8. Static web page - Wikipedia

   en.wikipedia.org/wiki/Static_web_page

   Static web pages are often HTML documents, [ 4 ] stored as files in the file system and made available by the web server over HTTP (nevertheless URLs ending with ".html" are not always static). However, loose interpretations of the term could include web pages stored in a database, and could even include pages formatted using a template and ...

9. Talk:Bootstrapping (statistics) - Wikipedia

   en.wikipedia.org/wiki/Talk:Bootstrapping...

   The primary use of bootstrapping is in inferential statistics, providing information about the distribution of an estimator - its bias, standard error, confidence intervals, etc. It is not usually used in its own right as an estimation method. It is tempting for beginners to do so - to use the average of bootstrap statistics as an estimator in ...