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Estimation of Weighted Residual Inaccuracy Measure for Right Censored Dependent Data

Journal of the Indian Society for Probability and Statistics volume 22, pages 343–356 (2021)Cite this article

Abstract

Recently inaccuracy measure has been widely used as a useful tool for measuring error in experimental results. The present paper we proposes nonparametric estimators for the weighted inaccuracy measure based on right-censored dependent data. The asymptotic properties of the proposed estimators are discussed. We illustrated the performance of the estimator using simulated and a real-life data set.

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Acknowledgements

The authors would like to express their gratitude to the reviewer for the valuable suggestions.

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Authors and Affiliations

  1. Department of Statistics, University of Kerala, Thiruvananthapuram, Kerala, India

    K. V. Viswakala & E. I. Abdul Sathar

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  1. K. V. Viswakala
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  2. E. I. Abdul Sathar
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Correspondence to E. I. Abdul Sathar.

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Viswakala, K.V., Sathar, E.I.A. Estimation of Weighted Residual Inaccuracy Measure for Right Censored Dependent Data. J Indian Soc Probab Stat 22, 343–356 (2021). https://doi.org/10.1007/s41096-021-00107-0

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  • DOI: https://doi.org/10.1007/s41096-021-00107-0

Keywords

  • Inaccuracy measure
  • Weighted distributions
  • Information measures
  • Right-censored data
  • Kernel density estimator