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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Main Authors: K.V. Viswakala, E.I. Abdul Sathar
Format: Article
Language:English
Published: University of Bologna 2025-04-01
Series:Statistica
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Online Access:https://rivista-statistica.unibo.it/article/view/19565
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author K.V. Viswakala
E.I. Abdul Sathar
author_facet K.V. Viswakala
E.I. Abdul Sathar
author_sort K.V. Viswakala
collection DOAJ
description 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 literature. When the observations generated by a stochastic process are recorded using a weight function, weighted distributions are established. Based on right-censored dependent data, we provide a nonparametric estimate for the weighted dynamic cumulative past inaccuracy measure in this study. The proposed estimator’s asymptotic characteristics have been examined, and its performance demonstrated through simulated and real-world data sets.
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institution OA Journals
issn 0390-590X
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spelling doaj-art-ec0e5291ade74eeabbfff56670389ca12025-08-20T02:16:39ZengUniversity of BolognaStatistica0390-590X1973-22012025-04-0183422324510.6092/issn.1973-2201/1956517930Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored DataK.V. Viswakala0E.I. Abdul Sathar1SQC & OR Unit, Indian Statistical Institute, Bangalore, Karnataka, IndiaUniversity of Kerala, Thiruvananthapuram, Kerala, IndiaThe 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 literature. When the observations generated by a stochastic process are recorded using a weight function, weighted distributions are established. Based on right-censored dependent data, we provide a nonparametric estimate for the weighted dynamic cumulative past inaccuracy measure in this study. The proposed estimator’s asymptotic characteristics have been examined, and its performance demonstrated through simulated and real-world data sets.https://rivista-statistica.unibo.it/article/view/19565alpha-mixinginformation measuresrecursive kernel density estimatorright-censored dataweighted dynamic cumulative past inaccuracy measure
spellingShingle K.V. Viswakala
E.I. Abdul Sathar
Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored Data
Statistica
alpha-mixing
information measures
recursive kernel density estimator
right-censored data
weighted dynamic cumulative past inaccuracy measure
title Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored Data
title_full Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored Data
title_fullStr Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored Data
title_full_unstemmed Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored Data
title_short Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored Data
title_sort non parametric kernel estimation of weighted dynamic cumulative past inaccuracy measure based on censored data
topic alpha-mixing
information measures
recursive kernel density estimator
right-censored data
weighted dynamic cumulative past inaccuracy measure
url https://rivista-statistica.unibo.it/article/view/19565
work_keys_str_mv AT kvviswakala nonparametrickernelestimationofweighteddynamiccumulativepastinaccuracymeasurebasedoncensoreddata
AT eiabdulsathar nonparametrickernelestimationofweighteddynamiccumulativepastinaccuracymeasurebasedoncensoreddata