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Lifetime analysis by aging intensity...
~
Szymkowiak, Magdalena.
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Lifetime analysis by aging intensity functions
Record Type:
Electronic resources : Monograph/item
Title/Author:
Lifetime analysis by aging intensity functions/ by Magdalena Szymkowiak.
Author:
Szymkowiak, Magdalena.
Published:
Cham :Springer International Publishing : : 2020.,
Description:
xv, 215 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
Analysis of variance. -
Online resource:
https://doi.org/10.1007/978-3-030-12107-5
ISBN:
9783030121075
Lifetime analysis by aging intensity functions
Szymkowiak, Magdalena.
Lifetime analysis by aging intensity functions
[electronic resource] /by Magdalena Szymkowiak. - Cham :Springer International Publishing :2020. - xv, 215 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1962198-4182 ;. - Studies in systems, decision and control ;v.196..
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.
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.
ISBN: 9783030121075
Standard No.: 10.1007/978-3-030-12107-5doiSubjects--Topical Terms:
516400
Analysis of variance.
LC Class. No.: QA279 / .S996 2020
Dewey Class. No.: 519.538
Lifetime analysis by aging intensity functions
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Studies in systems, decision and control,
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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.
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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.
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Intelligent Technologies and Robotics (Springer-42732)
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