In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error ...

Models that are usually used to analyze data.

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### Linear regression - Wikipedia, the free encyclopedia

In statistics, linear regression is an approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or ...

### k-means clustering - Wikipedia, the free encyclopedia

k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means ...

### Mixture model - Wikipedia, the free encyclopedia

Structure of a mixture model General mixture model . A typical finite-dimensional mixture model is a hierarchical model consisting of the following components:

### Multinomial logistic regression - Wikipedia, the free ...

In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two ...

### Logistic regression - Wikipedia, the free encyclopedia

In statistics, logistic regression, or logit regression, or logit model is a type of probabilistic statistical classification model. It is also used to ...

### Nonlinear regression - Wikipedia, the free encyclopedia

In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the ...