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The Cascading Style Sheets (CSS) specification describes how elements of web pages are displayed by graphical browsers. Section 4 of the CSS1 specification defines a "formatting model" that gives block-level elements—such as p and blockquote—a width and height, and three levels of boxes surrounding it: padding, borders, and margins. [4]
Modal windows are sometimes called heavy windows or modal dialogs because they often display a dialog box. User interfaces typically use modal windows to command user awareness and to display emergency states, though interaction designers argue they are ineffective for that use. [1] Modal windows are prone to mode errors. [1] [2] [3]
The mode of a sample is the element that occurs most often in the collection. For example, the mode of the sample [1, 3, 6, 6, 6, 6, 7, 7, 12, 12, 17] is 6. Given the list of data [1, 1, 2, 4, 4] its mode is not unique. A dataset, in such a case, is said to be bimodal, while a set with more than two modes may be described as multimodal.
In his book The Humane Interface, Jef Raskin defines modality as follows: "An human-machine interface is modal with respect to a given gesture when (1) the current state of the interface is not the user's locus of attention and (2) the interface will execute one among several different responses to the gesture, depending on the system's current state."
Besides accessing existing DOM nodes through jQuery, it is also possible to create new DOM nodes, if the string passed as the argument to $() factory looks like HTML. For example, the below code finds an HTML select element, and creates a new option element with the value VAG and the label Volkswagen, which is then appended to the select menu:
In HTML DOM (Document Object Model), every element is a node: [4] A document is a document node. All HTML elements are element nodes. All HTML attributes are attribute nodes. Text inserted into HTML elements are text nodes. Comments are comment nodes.
An example of a density of a bimodal distribution in which the highest mode is uncharacteristic of the majority of the distribution. In many types of models, such as mixture models, the posterior may be multi-modal.
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):