國立虎尾科技大學 |

Probability models in reliability analysis

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Probability models in reliability analysis/ by S. P. Mukherjee, Asok K. Nanda.
Author:	Mukherjee, S. P.
other author:	Nanda, Asok K.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xviii, 345 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Reliability (Engineering) - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-981-96-3049-3
ISBN:	9789819630493

Probability models in reliability analysis
Mukherjee, S. P.

Probability models in reliability analysis[electronic resource] /by S. P. Mukherjee, Asok K. Nanda. - Singapore :Springer Nature Singapore :2025. - xviii, 345 p. :ill. (chiefly color), digital ;24 cm. - University texts in the mathematical sciences,2731-9326. - University texts in the mathematical sciences..

1. Introduction -- 2. Properties of Life Distributions -- 3. Univariate Continuous Distributions -- 4. Some Discrete Distributions -- 5. Distributions Derived from the Parent Distribution -- 6. Finite Range Life Distributions -- 7. Ordering among Life Distributions -- 8. Classes of Life Distributions -- 9. Characterizations of Life Distributions -- 10. Distributions of Special Interest -- 11. Using an Appropriate Probability Model.

This book delves into the fundamental theoretical aspects of reliability analysis, focusing on various probabilistic models. These models are essential for representing random variations in underlying variables such as time-to-failure, the number of failures between consecutive repairs and similar metrics. The calculation, estimation and prediction of reliability all hinge on using appropriate probability models. The book introduces various models beneficial for researchers in the field of reliability. It also provides a comprehensive overview of the available models, highlighting their distinctive features and practical applications in a narrative format. The content of the book is designed to appeal to a broad readership. Students and researchers in the field of reliability analysis will find a comprehensive yet easily understandable summary of models applicable to their data sets of interest. It should be noted, however, As stated clearly in the preface, this book does not illustrate applications of the models discussed in terms of real-life data.

ISBN: 9789819630493

Standard No.: 10.1007/978-981-96-3049-3doiSubjects--Topical Terms:

671203
Reliability (Engineering)
--Mathematical models.

LC Class. No.: TA169

Dewey Class. No.: 620.00452

Probability models in reliability analysis
LDR:02630nam a2200361 a 4500 001 1162550
003 DE-He213
005 20250531130313.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819630493 $q (electronic bk.)
020 $a 9789819630486 $q (paper)
024 7 $a 10.1007/978-981-96-3049-3 $2 doi
035 $a 978-981-96-3049-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA169
072 7 $a PBT $2 bicssc
072 7 $a PBWL $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a PBWL $2 thema
082 0 4 $a 620.00452 $2 23
090 $a TA169 $b .M953 2025
100 1 $a Mukherjee, S. P. $3 1209577
245 1 0 $a Probability models in reliability analysis $h [electronic resource] / $c by S. P. Mukherjee, Asok K. Nanda.
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xviii, 345 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a University texts in the mathematical sciences, $x 2731-9326
505 0 $a 1. Introduction -- 2. Properties of Life Distributions -- 3. Univariate Continuous Distributions -- 4. Some Discrete Distributions -- 5. Distributions Derived from the Parent Distribution -- 6. Finite Range Life Distributions -- 7. Ordering among Life Distributions -- 8. Classes of Life Distributions -- 9. Characterizations of Life Distributions -- 10. Distributions of Special Interest -- 11. Using an Appropriate Probability Model.
520 $a This book delves into the fundamental theoretical aspects of reliability analysis, focusing on various probabilistic models. These models are essential for representing random variations in underlying variables such as time-to-failure, the number of failures between consecutive repairs and similar metrics. The calculation, estimation and prediction of reliability all hinge on using appropriate probability models. The book introduces various models beneficial for researchers in the field of reliability. It also provides a comprehensive overview of the available models, highlighting their distinctive features and practical applications in a narrative format. The content of the book is designed to appeal to a broad readership. Students and researchers in the field of reliability analysis will find a comprehensive yet easily understandable summary of models applicable to their data sets of interest. It should be noted, however, As stated clearly in the preface, this book does not illustrate applications of the models discussed in terms of real-life data.
650 0 $a Reliability (Engineering) $x Mathematical models. $3 671203
650 0 $a Probabilities. $3 527847
650 1 4 $a Probability Theory. $3 1366244
650 2 4 $a Stochastic Modelling in Statistics. $3 1391582
650 2 4 $a Operations Research, Management Science. $3 785065
700 1 $a Nanda, Asok K. $3 1489353
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a University texts in the mathematical sciences. $3 1455636
856 4 0 $u https://doi.org/10.1007/978-981-96-3049-3
950 $a Mathematics and Statistics (SpringerNature-11649)