## ::Statistical model

### ::concepts

Model::models    Mathcal::theta    First::''b''    Gaussian::theta    Example::''i''    Harvnb::which

A statistical model embodies a set of assumptions concerning the generation of the observed data, and similar data from a larger population. A model represents, often in considerably idealized form, the data-generating process. The model assumptions describe a set of probability distributions, some of which are assumed to adequately approximate the distribution from which a particular data set is sampled.

A model is usually specified by mathematical equations that relate one or more random variables and possibly other non-random variables. As such, "a model is a formal representation of a theory" (Herman Adèr quoting Kenneth Bollen).<ref>{{#invoke:Footnotes|harvard_citation_no_bracket}}</ref>

All statistical hypothesis tests and all statistical estimators are derived from statistical models. More generally, statistical models are part of the foundation of statistical inference.

Statistical model sections
Intro  Formal definition  An example  General remarks  Dimension of a model  Nested models  Comparing models  See also  Notes  References  Further reading

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