Research on Lifetime Estimation Using The Trunsored Data

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A new incomplete data model, the trunsored model, in lifetime analysis is introduced. This model can be regarded as a unified model of the censored and truncated models. Using the model, we can not only estimate the ratio of the fragile population to the mixed fragile and durable populations, but also test a hypothesis that the ratio equals to a prescribed value. A central point of the paper is that such a test can easily be realized through the newly introduced trunsored model, since it has been difficult to do such a hypothesis test under only the framework of censored and truncated models. Therefore, the relationship of the trunsored model to the censored and truncated models is clarified because the trunsored model unifies the censored and truncated models. The paper also shows how to obtain the estimates of the parameters in lifetime estimation and corresponding confidence intervals for the fragile population. Typical examples applied to electronic board failures and to breast cancer data for lifetime estimation are demonstrated and successfully worked using the trunsored model.