Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored Data

The inaccuracy measure has recently become a valuable tool for detecting errors in experimental data. This measure applies only when random variables have density functions. To circumvent this constraint, the cumulative inaccuracy measure is a commonly used alternative measure of inaccuracy in the l...

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Hlavní autoři:	K.V. Viswakala, E.I. Abdul Sathar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	University of Bologna 2025-04-01
Edice:	Statistica
Témata:	alpha-mixing information measures recursive kernel density estimator right-censored data weighted dynamic cumulative past inaccuracy measure
On-line přístup:	https://rivista-statistica.unibo.it/article/view/19565
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