國立高雄大學圖資館 |

Language: English

Back

Probability models in reliability analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probability models in reliability analysisby 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$q(electronic bk.)

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$q(electronic bk.)

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

182603
Reliability (Engineering)
--Mathematical models.

LC Class. No.: TA169

Dewey Class. No.: 620.00452

Probability models in reliability analysis
LDR:02631nmm a2200361 a 4500 001 678169
003 DE-He213
005 20250531130313.0
006 m d
007 cr nn 008maaau
008 251021s2025 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 823414
245 1 0 $a Probability models in reliability analysis $h [electronic resource] / $c by S. P. Mukherjee, Asok K. Nanda.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
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 182603
650 0 $a Probabilities. $3 182046
650 1 4 $a Probability Theory. $3 913371
650 2 4 $a Stochastic Modelling in Statistics. $3 922349
650 2 4 $a Operations Research, Management Science. $3 511451
700 1 $a Nanda, Asok K. $3 991589
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a University texts in the mathematical sciences. $3 975708
856 4 0 $u https://doi.org/10.1007/978-981-96-3049-3
950 $a Mathematics and Statistics (SpringerNature-11649)