Most mean powerful test of a composite null against a composite alternative
From MaRDI portal
Publication:957283
DOI10.1016/j.csda.2004.07.001zbMath1429.62196OpenAlexW1987803270MaRDI QIDQ957283
Publication date: 26 November 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2004.07.001
generalized Neyman-Pearson lemmaMA(1) disturbancesAR(1) disturbancesmost mean powerful invariant test
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Hypothesis testing in multivariate analysis (62H15)
Related Items
An expected power approach for the assessment of composite endpoints and their components ⋮ Most mean powerful invariant test for testing two-dimensional parameter spaces ⋮ Exact optimal inference in regression models under heteroskedasticity and non-normality of unknown form
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Robust tests for spherical symmetry and their application to least squares regression
- Admissibility of the likelihood ratio test when a nuisance parameter is present only under the alternative
- Most mean powerful invariant test for testing two-dimensional parameter spaces
- Testing AR(1) Against MA(1) Disturbances in the Linear Regression Model: An Alternative Procedure
- Optimal Tests when a Nuisance Parameter is Present Only Under the Alternative
- Testing for Serial Correlation Against an ARMA(1, 1,) Process
- IMPROVING THE NUMERICAL TECHNIQUE FOR COMPUTING THE ACCUMULATED DISTRIBUTION OF A QUADRATIC FORM IN NORMAL VARIABLES
- Computing the distribution of quadratic forms in normal variables
- Most Powerful Tests of Composite Hypotheses. I. Normal Distributions
- TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II