Adjusted power estimates in monte carlo experiments

DOI10.1080/03610919408813162zbMath0825.62018OpenAlexW2092099557MaRDI QIDQ4844134

Ji Zhang, Dennis D. Boos

Publication date: 20 August 1995

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.4/8354

zbMATH Keywords

critical valueMcNemar's testempirical leveltrue level

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (11)

Variance estimates and hypothesis tests in least absolute value regression ⋮ Penalized power approach to compare the power of the tests when Type I error probabilities are different ⋮ Testing exponentiality based on the extropy of record values ⋮ Estimation and inference in heterogeneous spatial panels with a multifactor error structure ⋮ A note on hypothesis testing in LAV multiple regression: A small sample comparison ⋮ A note on hypothesis testing in LAV multiple regression: a small sample comparison ⋮ Characterization of exponential distribution using extropy based on lower \(k\)-records and its application in testing exponentiality ⋮ Least absolute value regression: recent contributions ⋮ The adjustment of random baseline measurements in treatment effect estimation ⋮ Symmetry being tested through simultaneous application of upper and lower k-records in extropy ⋮ Behaviour of higher-order approximations of the tests in the single parameter Cox proportional hazards model.

Cites Work

• Approximation Theorems of Mathematical Statistics
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