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Lorem ipsum (/ ˌ l ɔː. r ə m ˈ ɪ p. s ə m / LOR-əm IP-səm) is a dummy or placeholder text commonly used in graphic design, publishing, and web development to fill empty spaces in a layout that does not yet have content.
Filler text (also placeholder text or dummy text) is text that shares some characteristics of a real written text, but is random or otherwise generated. It may be used to display a sample of fonts , generate text for testing, or to spoof an e-mail spam filter .
In computer programming, a sentinel value (also referred to as a flag value, trip value, rogue value, signal value, or dummy data) is a special value in the context of an algorithm which uses its presence as a condition of termination, typically in a loop or recursive algorithm.
A variable of this type is called a dummy variable. If the dependent variable is a dummy variable, then logistic regression or probit regression is commonly employed. In the case of regression analysis, a dummy variable can be used to represent subgroups of the sample in a study (e.g. the value 0 corresponding to a constituent of the control ...
2 Examples. 3 See also. Toggle the table of contents. Template: Dummy footnote. ... Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; ...
In Scheme, for example, the false value is an atom distinct from the empty list, so the latter is interpreted as true. Common Lisp, on the other hand, also provides the dedicated boolean type, derived as a specialization of the symbol.
Dummy data can be used as a placeholder for both testing and operational purposes. For testing, dummy data can also be used as stubs or pad to avoid software testing issues by ensuring that all variables and data fields are occupied. In operational use, dummy data may be transmitted for OPSEC purposes. Dummy data must be rigorously evaluated ...
Example of a cubic polynomial regression, which is a type of linear regression. Although polynomial regression fits a curve model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E( y | x ) is linear in the unknown parameters that are estimated from the data .