Adaptive Test for Periodicity in Self-Exciting Threshold Autoregressive Models
DOI10.1080/03610910903108492zbMath1396.62193OpenAlexW2089397051MaRDI QIDQ3652716
M. Merzougui, Mohamed Bentarzi
Publication date: 16 December 2009
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610910903108492
local asymptotic normalityperiodically correlated processadaptive testlocal asymptotic ``most stringent testperiodic self-exciting threshold autoregressiveSwensen's conditions
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Testing for threshold autoregression
- The asymptotic distribution of the likelihood ratio for autoregressive time series with a regression trend
- Locally asymptotically optimal tests for AR\((p)\) against diagonal bilinear dependence
- Efficient estimation in nonlinear autoregressive time-series models
- On adaptive estimation in stationary ARMA processes
- A portmanteau test for self-exciting threshold autoregressive-type nonlinearity in time series
- Asymptotic distribution of the log-likelihood function for stochastic processes
- Nonlinear modelling of periodic threshold autoregressions using Tsmars
This page was built for publication: Adaptive Test for Periodicity in Self-Exciting Threshold Autoregressive Models