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- Unit_root_test abstract "In statistics, a unit root test tests whether a time series variable is non-stationary using an autoregressive model. A well-known test that is valid in large samples is the augmented Dickey–Fuller test. The optimal finite sample tests for a unit root in autoregressive models were developed by Denis Sargan and Alok Bhargava. Another test is the Phillips–Perron test. These tests use the existence of a unit root as the null hypothesis.".
- Unit_root_test wikiPageExternalLink UNITROOT.PDF.
- Unit_root_test wikiPageID "2473482".
- Unit_root_test wikiPageRevisionID "593035874".
- Unit_root_test hasPhotoCollection Unit_root_test.
- Unit_root_test subject Category:Statistical_tests.
- Unit_root_test subject Category:Time_series_analysis.
- Unit_root_test type Abstraction100002137.
- Unit_root_test type Cognition100023271.
- Unit_root_test type Experiment105798043.
- Unit_root_test type HigherCognitiveProcess105770664.
- Unit_root_test type Inquiry105797597.
- Unit_root_test type ProblemSolving105796750.
- Unit_root_test type Process105701363.
- Unit_root_test type PsychologicalFeature100023100.
- Unit_root_test type StatisticalTests.
- Unit_root_test type Thinking105770926.
- Unit_root_test type Trial105799212.
- Unit_root_test comment "In statistics, a unit root test tests whether a time series variable is non-stationary using an autoregressive model. A well-known test that is valid in large samples is the augmented Dickey–Fuller test. The optimal finite sample tests for a unit root in autoregressive models were developed by Denis Sargan and Alok Bhargava. Another test is the Phillips–Perron test. These tests use the existence of a unit root as the null hypothesis.".
- Unit_root_test label "Unit root test".
- Unit_root_test sameAs m.07ghh8.
- Unit_root_test sameAs Q7887151.
- Unit_root_test sameAs Q7887151.
- Unit_root_test sameAs Unit_root_test.
- Unit_root_test wasDerivedFrom Unit_root_test?oldid=593035874.
- Unit_root_test isPrimaryTopicOf Unit_root_test.