Asymptotic expansions of the distributions of some test statistics for Gaussian ARMA processes
DOI10.1016/0047-259X(88)90144-3zbMath0659.62105MaRDI QIDQ1112518
Publication date: 1988
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
likelihood ratioWald testmaximum likelihood estimatorspectral densityRao testsimple hypothesislocal powersGaussian ARMA processchi-square-type asymptotic expansionsmodified Wald
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Inference from stochastic processes and spectral analysis (62M15) Non-Markovian processes: hypothesis testing (62M07)
Related Items (11)
Cites Work
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- Asymptotic expansions of the distributions of some test statistics
- Third order asymptotic properties of maximum likelihood estimators for Gaussian ARMA processes
- Validity of Edgeworth expansions of minimum contrast estimators for Gaussian ARMA processes
- The likelihood ratio criterion and the asymptotic expansion of its distribution
- On the second order asymptotic efficiency of estimators of Gaussian ARMA processes
- The likelihood ratio criterion for a composite hypothesis under a local alternative
- Approximations to Some Finite Sample Distributions Associated with a First-Order Stochastic Difference Equation
- Likelihood ratio and associated test criteria
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