论文信息 - The limiting failure rate for a convolution of life distributions

The limiting failure rate for a convolution of life distributions

In this paper we investigate the limiting behavior of the failure rate for the convolution of two or more life distributions. In a previous paper on mixtures, Block, Mi and Savits (1993) showed that the failure rate behaves like the limiting behavior of the strongest component. We show a similar result here for convolutions. We also show by example that unlike a mixture population, the ultimate direction of monotonicity does not necessarily follow that of the strongest component.

Naftali A. Langberg | Henry W. Block | Thomas H. Savits

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