Data driven smooth tests for composite hypotheses comparison of powers

DOI10.1080/00949659708811850zbMath1067.62535OpenAlexW2073182999MaRDI QIDQ4365859

Wilbert C. M. Kallenberg, Teresa Ledwina

Publication date: 1997

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://research.utwente.nl/en/publications/data-driven-smooth-tests-for-composite-hypotheses-comparison-of-powers(ef35159e-f8ea-432a-84df-f926f9a1ccc8).html

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03)

Related Items (13)

Data-driven tests of uniformity on product manifolds ⋮ A study of the quantile correlation test for normality ⋮ Moderate deviations of minimum contrast estimators under contamination ⋮ Neyman smooth goodness-of-fit tests for the marginal distribution of dependent data ⋮ On simulation powers of new normality tests ⋮ Data-driven Sobolev tests of uniformity on compact Riemannian manifolds ⋮ Data-driven smooth test for a location-scale family ⋮ Data-driven smooth tests for the extreme value distribution ⋮ Towards data driven selection of a penalty function for data driven Neyman tests ⋮ Data-driven smooth tests for a location-scale family revisited ⋮ Data driven smooth tests for bivariate normality ⋮ The simultaneous assessment of normality and homoscedasticity in linear fixed effects models ⋮ Estimating the mean and its effects on Neyman smooth tests of normality for ARMA models

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