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Titlebook: Lifetime Analysis by Aging Intensity Functions; Magdalena Szymkowiak Book 2020 Springer Nature Switzerland AG 2020 Lifetime Analysis.Aging

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发表于 2025-3-21 17:38:22 | 显示全部楼层 |阅读模式
书目名称Lifetime Analysis by Aging Intensity Functions
编辑Magdalena Szymkowiak
视频video
概述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
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Lifetime Analysis by Aging Intensity Functions; Magdalena Szymkowiak Book 2020 Springer Nature Switzerland AG 2020 Lifetime Analysis.Aging
描述.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. .
出版日期Book 2020
关键词Lifetime Analysis; Aging Intensity Functions; Reliability Functions; Aging Intensities; Generalized Agin
版次1
doihttps://doi.org/10.1007/978-3-030-12107-5
isbn_softcover978-3-030-12109-9
isbn_ebook978-3-030-12107-5Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer Nature Switzerland AG 2020
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发表于 2025-3-21 22:49:45 | 显示全部楼层
Aging Intensity of Nonnegative Univariate Absolutely Continuous Distributionsction we propose the characterizations of Weibull and inverse Weibull related distributions (Sect. .). They are alternatives to the basic two-parameter Weibull distribution to be used in reliability analysis of elements and systems. We find that for presented distributions it is easier to characteri
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Aging Intensities of Discrete Distributionsments and systems life, for example to describe the number of operations of the unite successfully completed prior to its failure. In the discrete case we propose two aging intensity functions, basic and alternative ones. Both of them can be used in lifetime analysis (Sect. .), but in some cases the
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Aging Intensities Vector for Bivariate Absolutely Continuous Distributionsions, e.g., bivariate Weibull (Sect. .), we often use to describe the lifetime of two components system. Further, a bivariate aging intensity order is studied (Sect. .). To show the practical usefulness of the aging intensities vector, the analysis of this vector through the real data is performed (
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-Generalized Aging Intensity Functions. 7.1). They allow to analyze and measure the aging tendency from various points of view. Moreover, the recognition of the shape of a properly chosen .-generalized aging intensity estimate admits a simple identification of the data lifetime distribution.
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Support Dependent ,-Generalized Aging Intensity Functionses of lifetime random variables in various time scalings (Sect. .). In Sect. . we present some basic properties of support dependent .-generalized aging intensity functions and describe their connections with the star order. The support dependent .-generalized aging intensity functions are used for
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nificant change in past years. The profession first became recognised in the 1940s, with training and practice heavily influenced by the scientist practitioner model. The training model now consists of an undergraduate degree that focuses on building knowledge in the discipline of psychology, follow
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