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  2. Multinomial logistic regression - Wikipedia

    en.wikipedia.org/.../Multinomial_logistic_regression

    Multinomial logistic regression is known by a variety of other names, including polytomous LR, [2] [3] multiclass LR, softmax regression, multinomial logit (mlogit), the maximum entropy (MaxEnt) classifier, and the conditional maximum entropy model. [4]

  3. JASP - Wikipedia

    en.wikipedia.org/wiki/JASP

    Regression / Correlation (r, Rho, Tau, (log)linear, multinomial, ordinal, firth logistic, residual) ( ) ( ) Reliability ( ) X Structural Equation Modeling inkl. (PLS) Partial Least Squares, Latent Growth & MIMIC AMOS X X Summary Statistics X X X non- & semi-parametric Survival Analyses X X

  4. Multinomial distribution - Wikipedia

    en.wikipedia.org/wiki/Multinomial_distribution

    When k = 2, the multinomial distribution is the binomial distribution. Categorical distribution, the distribution of each trial; for k = 2, this is the Bernoulli distribution. The Dirichlet distribution is the conjugate prior of the multinomial in Bayesian statistics. Dirichlet-multinomial distribution. Beta-binomial distribution.

  5. Principal component regression - Wikipedia

    en.wikipedia.org/wiki/Principal_component_regression

    In statistics, principal component regression (PCR) is a regression analysis technique that is based on principal component analysis (PCA). PCR is a form of reduced rank regression . [ 1 ] More specifically, PCR is used for estimating the unknown regression coefficients in a standard linear regression model .

  6. Multinomial - Wikipedia

    en.wikipedia.org/wiki/Multinomial

    Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance. ... Multinomial logistic regression; Multinomial test;

  7. Dirichlet negative multinomial distribution - Wikipedia

    en.wikipedia.org/wiki/Dirichlet_negative...

    The Dirichlet distribution is a conjugate distribution to the negative multinomial distribution. This fact leads to an analytically tractable compound distribution.For a random vector of category counts = (, …,), distributed according to a negative multinomial distribution, the compound distribution is obtained by integrating on the distribution for p which can be thought of as a random ...

  8. Multinomial probit - Wikipedia

    en.wikipedia.org/wiki/Multinomial_probit

    The multinomial probit model is a statistical model that can be used to predict the likely outcome of an unobserved multi-way trial given the associated explanatory variables. In the process, the model attempts to explain the relative effect of differing explanatory variables on the different outcomes.

  9. Multivariate probit model - Wikipedia

    en.wikipedia.org/wiki/Multivariate_probit_model

    In statistics and econometrics, the multivariate probit model is a generalization of the probit model used to estimate several correlated binary outcomes jointly. For example, if it is believed that the decisions of sending at least one child to public school and that of voting in favor of a school budget are correlated (both decisions are binary), then the multivariate probit model would be ...