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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.
jQuery Mobile provides a theming framework that allows developers to customize color schemes and certain CSS aspects of UI features. Developers can use the jQuery Mobile ThemeRoller [8] application to customize these appearances and create branded experiences. After developing a theme in the ThemeRoller application, programmers can download a ...
Access to and manipulation of multiple DOM nodes in jQuery typically begins with calling the $ function with a CSS selector string. This returns a jQuery object referencing all the matching elements in the HTML page. $("div.test"), for example, returns a jQuery object with all the div elements that have the class test. This node set can be ...
Both jQuery and jQuery UI are free and open-source software distributed by the jQuery Foundation under the MIT License; jQuery UI was first published in September 2007. [ 6 ] [ 8 ] As of October 7, 2021 jQuery UI is in maintenance mode, with no new features being planned.
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).
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):
The bootstrap dataset is made by randomly picking objects from the original dataset. Also, it must be the same size as the original dataset. However, the difference is that the bootstrap dataset can have duplicate objects. Here is a simple example to demonstrate how it works along with the illustration below:
The bootstrapping rule in the rules of evidence dealt with admissibility as non-hearsay of statements of conspiracy in United States federal courts.The rule, in a criminal prosecution for conspiracy, was that the court, in deciding whether to allow the jury to consider a statement of conspiracy, cannot hear the statement itself: the allegation had to be supported by independent evidence.