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Full details can be found in Help:Template, Wikipedia:Templates and m:Help:Advanced templates . A template is a Wikipedia page created to be included in other pages. It usually contains repetitive material that may need to show up on multiple articles or pages, often with customizable input. Templates sometimes use MediaWiki parser functions ...
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 ...
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.
CSS, or Cascading Style Sheets, is a language that defines the presentation of web pages, such as layout, colors, fonts, and animations. CSS is used to separate the content from the appearance, and to enable more flexibility and accessibility. Learn more about the history, syntax, and features of CSS on Wikipedia.
Module:Template link general ( sandbox) This template, often abbreviated as { {tlx}}, is used to provide stylized formatting to template displays without actually using the template itself. The code generated will be displayed inline. For a multi-line output, see { { tj }}.
When placed inside a given template, it adds navbar navigational functionality Template parameters [Edit template data] Parameter Description Type Status Template Name 1 The name of the template, so links work correctly Default String required Different text text Allows custom text to replace the default 'this box' Default This box String optional Without 'This box:' text plain Removes 'This ...
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 ...
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 ...