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Estimation of past inaccuracy measure for the right censored dependent data

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  • E. I. Abdul Sathar
  • K. V. Viswakala
  • G. Rajesh

Abstract

In the present article, we propose nonparametric estimators for the past inaccuracy measure for the lifetime distribution based on right censored data. Two non parametric estimators, one based on the empirical distribution function and the other using kernel density estimator, are proposed. Asymptotic properties of the estimators are established under suitable regularity conditions. Monte-Carlo simulation studies are carried out to compare the performance of the estimators. The method is illustrated using a real data set.

Suggested Citation

  • E. I. Abdul Sathar & K. V. Viswakala & G. Rajesh, 2021. "Estimation of past inaccuracy measure for the right censored dependent data," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 50(6), pages 1446-1455, March.
    • Handle: RePEc:taf:lstaxx:v:50:y:2021:i:6:p:1446-1455
    DOI: 10.1080/03610926.2019.1651859
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