COMPARING TESTS OF AUTOREGRESSIVE VERSUS MOVING AVERAGE ERRORS IN REGRESSION MODELS USING BAHADUR’S ASYMPTOTIC RELATIVE EFFICIENCY
From MaRDI portal
Publication:4449067
DOI10.1081/STA-120006073zbMath1075.62621MaRDI QIDQ4449067
Michael McAleer, C. R. Mckenzie
Publication date: 4 February 2004
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Bahadur efficiencyLagrange multiplier testAutoregressive modelMoving average modelInappropriate alterativesSeparate (non-nested) tests
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of parametric tests (62F05)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A unified approach to estimation and orthogonality tests in linear single-equation econometric models
- Assessing the relative efficiency of Hausman's test under Bahadur efficiency considerations
- Nonnested testing for autocorrelation in the linear regression model
- A comparison of nonnested tests for misspecified models using the method of approximate slopes
- Some consequences of superimposed error in time series analysis
- Testing AR(1) Against MA(1) Disturbances in the Linear Regression Model: An Alternative Procedure
- Recursive estimation of linear systems
- A Complete Characterization of ARMA Solutions to Linear Rational Expectations Models
- Further Results on Testing AR (1) Against MA (1) Disturbances in the Linear Regression Model
- On the Invariance of the Lagrange Multiplier Test with Respect to Certain Changes in the Alternative Hypothesis
- A Comparison of Tests of the Independence of Two Covariance-Stationary Time Series
- The Approximate Slopes of Econometric Tests
- Some Tests of Dynamic Specification for a Single Equation
- The Estimation and Use of Models with Moving Average Disturbance Terms: A Survey
- Maximum Likelihood Estimation of Stochastic Linear Difference Equations with Autoregressive Moving Average Errors
- Co-Integration and Error Correction: Representation, Estimation, and Testing
- Seasonal Adjustment and Relations Between Variables
- Asymptotic power comparisons of tests of separate parametric families by Bahadur's approach
- Some tests of separate families of hypotheses in time series analysis
- Rates of Convergence of Estimates and Test Statistics
- Stochastic Comparison of Tests
- Maximum Likelihood Estimation of Difference Equations with Moving Average Errors: A Simulation Study
- Checks of model adequacy for univariate time series models and their application to econometric relationships
This page was built for publication: COMPARING TESTS OF AUTOREGRESSIVE VERSUS MOVING AVERAGE ERRORS IN REGRESSION MODELS USING BAHADUR’S ASYMPTOTIC RELATIVE EFFICIENCY