Estimation of inaccuracy measure for censored dependent data

G. Rajesh, E. I. Abdul Sathar and K. V. Viswakala

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 20, 10058-10070

Abstract: In the present paper, we propose non parametric estimators for the inaccuracy measure for the lifetime distribution based on censored data. This measure plays important roles in reliability and survival analysis in connection with modeling and analysis of life time data. 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 using the mean-squared error. The methods are illustrated using a real data set.

Date: 2017
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DOI: 10.1080/03610926.2016.1228969

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