國立高雄大學圖資館 |

Language: English

Back

Lifetime analysis by aging intensity...

SpringerLink (Online service)

Lifetime analysis by aging intensity functions

Record Type:	Electronic resources : Monograph/item
Title/Author:	Lifetime analysis by aging intensity functionsby Magdalena Szymkowiak.
Author:	Szymkowiak, Magdalena.
Published:	Cham :Springer International Publishing :2020.
Description:	xv, 215 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Analysis of variance.
Online resource:	https://doi.org/10.1007/978-3-030-12107-5
ISBN:	9783030121075$q(electronic bk.)

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.3..

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$q(electronic bk.)

Standard No.: 10.1007/978-3-030-12107-5doiSubjects--Topical Terms:

181863
Analysis of variance.

LC Class. No.: QA279 / .S996 2020

Dewey Class. No.: 519.538

Lifetime analysis by aging intensity functions
LDR:02339nmm a2200337 a 4500 001 578075
003 DE-He213
005 20200430095624.0
006 m d
007 cr nn 008maaau
008 201208s2020 sz s 0 eng d
020 $a 9783030121075$q(electronic bk.)
020 $a 9783030121068$q(paper)
024 7 $a 10.1007/978-3-030-12107-5 $2 doi
035 $a 978-3-030-12107-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA279 $b .S996 2020
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 519.538 $2 23
090 $a QA279 $b .S999 2020
100 1 $a Szymkowiak, Magdalena. $3 866691
245 1 0 $a Lifetime analysis by aging intensity functions $h [electronic resource] / $c by Magdalena Szymkowiak.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xv, 215 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.196
505 0 $a 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.
520 $a 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.
650 0 $a Analysis of variance. $3 181863
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Engineering Mathematics. $3 806481
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.3. $3 678532
856 4 0 $u https://doi.org/10.1007/978-3-030-12107-5
950 $a Intelligent Technologies and Robotics (Springer-42732)