Hazard rate estimation when the measurement error has a normal or logistic distribution.

Statistical data analysis available in most scientific fields is often recorded with measurement error. The modeling of these statistical data by ignoring the measurement errors, leads to estimators of the parameters of the distributions, whose use does not achieve sufficient accuracy in the goodness of fit. In reliability criteria, one of the important issues is hazard rate function. It prompted us to investigate the hazard rate criterion in the presence of measurement error generated from the normal or logistic distribution. Now, while providing the estimator for the density function using local time polynomial estimator methods, the risk rate function is estimated according to the contamination degree of 15 or 30%. Finally, we present the numerical analysis.

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The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Parviz Nasiri reports a relationship with Payame Noor University that includes: non-financial support. Parviz Nasiri has patent licensed to –. It is declared that there is no conflict of interest. Parviz Nasiri If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.