Combining monte carlo and cox tests of non-nested hypotheses
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Publication:4275704
DOI10.1080/03610919308813136zbMath0800.62090OpenAlexW1983508162MaRDI QIDQ4275704
Publication date: 20 January 1994
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610919308813136
Parametric hypothesis testing (62F03) Monte Carlo methods (65C05) Probabilistic methods, stochastic differential equations (65C99)
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Cites Work
- Regularity conditions for Cox's test of non-nested hypotheses
- Finite sample properties and asymptotic efficiency of Monte Carlo tests
- Empirical comparisons of some tests of separate families of hypotheses
- A New Method for Testing Separate Families of Hypotheses
- Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements
- A new distribution-free quantile estimator
- A test of separate families of distributions based on the empirical moment generating function
- A note on the consistency and on the finite sample comparisons of some tests of separate families of hypotheses
- Hypothesis Testing Procedures for Separate Families of Hypotheses
- Asymptotic power comparisons of tests of separate parametric families by Bahadur's approach
- On Information and Sufficiency
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