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  2. Module:Check for unknown parameters/sandbox - Wikipedia

    en.wikipedia.org/wiki/Module:Check_for_unknown...

    Module:Check for deprecated parameters – similar module that checks for deprecated parameters; Module:Check for clobbered parameters – module that checks for conflicting parameters; Module:TemplatePar – similar function (originally from dewiki) Template:Parameters and Module:Parameters – generates a list of parameter names for a given ...

  3. Deviance information criterion - Wikipedia

    en.wikipedia.org/wiki/Deviance_information_criterion

    Models are penalized both by the value of ¯, which favors a good fit, but also (similar to AIC) by the effective number of parameters . Since D ¯ {\displaystyle {\bar {D}}} will decrease as the number of parameters in a model increases, the p D {\displaystyle p_{D}} term compensates for this effect by favoring models with a smaller number of ...

  4. Module:Check for unknown parameters - Wikipedia

    en.wikipedia.org/wiki/Module:Check_for_unknown...

    Module:Check for deprecated parameters – similar module that checks for deprecated parameters; Module:Check for clobbered parameters – module that checks for conflicting parameters; Module:TemplatePar – similar function (originally from dewiki) Template:Parameters and Module:Parameters – generates a list of parameter names for a given ...

  5. Template:Parameters - Wikipedia

    en.wikipedia.org/wiki/Template:Parameters

    Generates a parameter description list which can be filled in and added to a template's documentation. The output uses the semicolon and colon format where the parameter name is displayed using template {{ para }} the description is indented.

  6. Parametric model - Wikipedia

    en.wikipedia.org/wiki/Parametric_model

    a "semi-parametric" model contains finite-dimensional parameters of interest and infinite-dimensional nuisance parameters; a "semi-nonparametric" model has both finite-dimensional and infinite-dimensional unknown parameters of interest. Some statisticians believe that the concepts "parametric", "non-parametric", and "semi-parametric" are ...

  7. Calibration (statistics) - Wikipedia

    en.wikipedia.org/wiki/Calibration_(statistics)

    There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. Calibration can mean a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; [1]

  8. Module talk:Check for unknown parameters/Archive 1 - Wikipedia

    en.wikipedia.org/wiki/Module_talk:Check_for...

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  9. List of model checking tools - Wikipedia

    en.wikipedia.org/wiki/List_of_model_checking_tools

    In 1999, Judi Romijn compared two model checkers (CADP and SPIN) on the HAVi interoperability audio-video protocol for consumer electronics. [3] In 2003, Yifei Dong, Xiaoqun Du, Gerard J. Holzmann, and Scott A. Smolka published a comparison of four model checkers (namely: Cospan, Murphi, SPIN, and XMC) on a communication protocol, the GNU i ...