- Title
- Statistical distribution models: goodness of fit tests
- Creator
- Rayner, John C. W.; Thas, Oliver; Best, Donald J.
- Relation
- International Encyclopedia of the Social & Behavioural Sciences p. 397-404
- Publisher Link
- http://dx.doi.org/10.1016/B978-0-08-097086-8.42047-7
- Publisher
- Elsevier
- Resource Type
- book chapter
- Date
- 2015
- Description
- The purpose of a one-sample test of fit is to give an objective measure of how well a probability model agrees with observed data. Here we discuss tests for multinomial models, tests based on the empirical distribution function and the construction of the Neyman-Barton smooth tests. In the final section we then address some modern developments in smooth testing: diagnostics, Cholesky components and model selection. Other tests of fit have been suggested, but we do not consider these here, except to briefly mention two.
- Description
- 2nd ed.
- Subject
- Cholesky components; data driven testing; diagnostic components; empirical distribution function tests of fit; model selection; multinomial models; Neyman-Barton smooth tests; orthonormal functions
- Identifier
- http://hdl.handle.net/1959.13/1066052
- Identifier
- uon:18040
- Identifier
- ISBN:9780080970868
- Language
- eng
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