enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. List of analyses of categorical data - Wikipedia

    en.wikipedia.org/wiki/List_of_analyses_of...

    Categorical distribution, general model; Chi-squared test; Cochran–Armitage test for trend; Cochran–Mantel–Haenszel statistics; Correspondence analysis; Cronbach's alpha; Diagnostic odds ratio; G-test; Generalized estimating equations; Generalized linear models; Krichevsky–Trofimov estimator; Kuder–Richardson Formula 20; Linear ...

  3. Data wrangling - Wikipedia

    en.wikipedia.org/wiki/Data_wrangling

    Data wrangling can benefit data mining by removing data that does not benefit the overall set, or is not formatted properly, which will yield better results for the overall data mining process. An example of data mining that is closely related to data wrangling is ignoring data from a set that is not connected to the goal: say there is a data ...

  4. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    It does this by representing data as points in a low-dimensional Euclidean space. The procedure thus appears to be the counterpart of principal component analysis for categorical data. [citation needed] MCA can be viewed as an extension of simple correspondence analysis (CA) in that it is applicable to a large set of categorical variables.

  5. Timeline of category theory and related mathematics - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_category...

    A Reedy category is a category R equipped with a structure enabling the inductive construction of diagrams and natural transformations of shape R. The most important consequence of a Reedy structure on R is the existence of a model structure on the functor category M R whenever M is a model category. Another advantage of the Reedy structure is ...

  6. Category:Categorical data - Wikipedia

    en.wikipedia.org/wiki/Category:Categorical_data

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  7. Soft independent modelling of class analogies - Wikipedia

    en.wikipedia.org/wiki/Soft_independent_modelling...

    Soft independent modelling by class analogy (SIMCA) is a statistical method for supervised classification of data. The method requires a training data set consisting of samples (or objects) with a set of attributes and their class membership. The term soft refers to the fact the classifier can identify samples as belonging to multiple classes ...

  8. Latent class model - Wikipedia

    en.wikipedia.org/wiki/Latent_class_model

    It is called a latent class model because the class to which each data point belongs is unobserved, or latent. Latent class analysis (LCA) is a subset of structural equation modeling, used to find groups or subtypes of cases in multivariate categorical data. These subtypes are called "latent classes". [1] [2]

  9. History Channel - Wikipedia

    en.wikipedia.org/wiki/History_Channel

    The History Channel's original logo used from January 1, 1995, to February 15, 2008, with the slogan "Where the past comes alive." In the station's early years, the red background was not there, and later it sometimes appeared blue (in documentaries), light green (in biographies), purple (in sitcoms), yellow (in reality shows), or orange (in short form content) instead of red.