A nonnested approach to testing continuous time models against discrete alternatives
DOI10.1016/0304-4076(93)90069-HzbMath0778.62078OpenAlexW1993597940MaRDI QIDQ1801422
Publication date: 9 January 1994
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4076(93)90069-h
nonlinear equationsexamplecontinuous time modelssystem of stochastic differential equationsdiscrete alternativesCox test statisticVARMAXvector autoregressive moving averaging model
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Non-Markovian processes: hypothesis testing (62M07)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Regularity conditions for Cox's test of non-nested hypotheses
- Tests for model specification in the presence of alternative hypotheses
- Consistent maximum-likelihood estimation with dependent observations. The general (nonnormal) case and the normal case
- ON THE FIRST–ORDER EFFICIENCY AND ASYMPTOTIC NORMALITY OF MAXIMUM LIKELIHOOD ESTIMATORS OBTAINED FROM DEPENDENT OBSERVATIONS
- Further Results on Testing AR (1) Against MA (1) Disturbances in the Linear Regression Model
- Testing Non-Nested Nonlinear Regression Models
- Error Correction and Long-Run Equilibrium in Continuous Time
- Some tests of separate families of hypotheses in time series analysis
This page was built for publication: A nonnested approach to testing continuous time models against discrete alternatives