Robustness of normality criteria with respect to rounding observations

DOI10.3103/S027864192202008XMaRDI QIDQ2172869

N. G. Ushakov, V. G. Ushakov

Publication date: 19 September 2022

Published in: Moscow University Computational Mathematics and Cybernetics (Search for Journal in Brave)

zbMATH Keywords

normal distributionsignificance levelrounded datanormality criterionMonte Carlo modeling

Mathematics Subject Classification ID

Parametric inference (62Fxx) Nonparametric inference (62Gxx) Probabilistic methods, stochastic differential equations (65Cxx)

Cites Work

• Smoothing by weighted averaging of rounded points
• Rounding of continuous random variables and oscillatory asymptotics
• Statistical analysis for rounded data
• Symmetric and asymmetric rounding: a review and some new results
• Binned goodness-of-fit tests based on the empirical characteristic function
• On the accuracy of binned kernel density estimators
• Statistical analysis of rounded data: measurement errors vs rounding errors
• The Influence of Rounding Errors on Some Nonparametric Estimators of a Density and its Derivatives
• Achieving Higher-Order Convergence Rates for Density Estimation with Binned Data
• The effect of rounding on sequential and fixed size sample hypothesis tests
• Bayesian statistical inference based on rounded data

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