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Abstract
A traditional life table method, which gives estimation of distribution function in intervals, is an old but very important tool. It is used widely since the withdrawals occur. The basic idea of the life table is that we assume a withdrawn individual is at risk for half the interval; in practice this is not always suitable. We suggest a new method in this article to improve life tables, which gets more information from the data. Simulations also show that our method is better than the life table method.
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Acknowledgment
The author would like to express sincere thanks to the referee for his/her suggestion in which the iterations could be eliminated and the new procedure is developed.