Lifetime Analysis by Aging Intensity Functions, 1st ed. 2020
Studies in Systems, Decision and Control Series, Vol. 196

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Language: English

105.49 €

In Print (Delivery period: 15 days).

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Lifetime Analysis by Aging Intensity Functions
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Support: Print on demand

105.49 €

In Print (Delivery period: 15 days).

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Lifetime Analysis by Aging Intensity Functions
Publication date:
215 p. · 15.5x23.5 cm · Hardback

This book addresses a range of aging intensity functions, which make it possible to measure and compare aging trends for lifetime random variables. Moreover, they can be used for the characterization of lifetime distributions, also with bounded support. Stochastic orders based on the aging intensities, and their connections with some other orders, are also discussed.

To demonstrate the applicability of aging intensity in reliability practice, the book analyzes both real and generated data. The estimated, properly chosen, aging intensity function is mainly recommended to identify data?s lifetime distribution, and secondly, to estimate some of the parameters of the identified distribution. Both reliability researchers and practitioners will find the book a valuable guide and source of inspiration.


Basic reliability functions.- Aging intensity of nonnegative univariate absolutely continuous Distributions.- Aging intensities of discrete distributions.- Aging intensities vector for bivariate absolutely continuous distributions.- Aging intensities vectors for bivariate discrete distributions.- Generalized aging intensity functions.- G-generalized aging intensity functions.- Support dependent G-generalized aging intensity functions.- Conclusions and Final Remarks.

Defines and studies selected aging intensity functions that are used to gauge various aspects of aging trends

Reviews the research on Lifetime Analysis by Aging Intensity Functions carried out in the past several years

Offers a valuable reference guide for reliability researchers and practitioners alike

Presents a number of basic continuous and discrete, univariate and bivariate lifetime distributions