Estimation of Circular Statistics in the Presence of Measurement Bias

Circular statistics and Rayleigh tests are important tools for analyzing cyclic events. However, current methods are not robust to significant measurement bias, especially incomplete or otherwise non-uniform sampling. One example is studying 24-cyclicity but having data not recorded uniformly over t...

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Vydané v:	IEEE journal of biomedical and health informatics Ročník 28; číslo 2; s. 1089 - 1100
Hlavní autori:	Alsammani, Abdallah, Stacey, William C., Gliske, Stephen V.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Bias Bioinformatics Biomarkers Biomedical measurement Computer Simulation Epilepsy Error correction Estimation Fredholm equations Histograms Humans Inference algorithm Integral equations inverse problems nonuniform sampling parameter estimation Physics Probability Robustness (mathematics) Sampling Sleep Statistical analysis Statistical significance Statistical tests Statistics Vigilance
ISSN:	2168-2194, 2168-2208, 2168-2208
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