國立虎尾科技大學 |

Fiber bundles = statistical models and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fiber bundles/ by James U. Gleaton ... [et al.].
其他題名:	statistical models and applications /
其他作者:	Gleaton, James U.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xiii, 157 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Topology. -
電子資源:	https://doi.org/10.1007/978-3-031-14797-5
ISBN:	9783031147975

Fiber bundles = statistical models and applications /
Fiber bundlesstatistical models and applications /[electronic resource] :by James U. Gleaton ... [et al.]. - Cham :Springer International Publishing :2022. - xiii, 157 p. :ill., digital ;24 cm.

1. Introduction and Preliminaries -- 2. Electrical Circuits of Ordinary Capacitors -- 3. Breakdown of Thin-Film Dielectrics -- 4. Cell Models for Dielectrics -- 5. Electrical Breakdown and the Breakdown Formalism -- 6. Statistical Properties of a Load-Sharing Bundle -- 7. Statistical Analysis of Kim and Lee (2004)'s Data -- 8. Circuits of Ordinary Capacitors -- 9. Size Effects Relationships Motivated by the Load-Sharing Cell Model -- 10. Concluding Comments and Future Research Directions.

This book presents a critical overview of statistical fiber bundle models, including existing models and potential new ones. The authors focus on both the physical and statistical aspects of a specific load-sharing example: the breakdown for circuits of capacitors and related dielectrics. In addition, they investigate some areas of open research. This book is designed for graduate students and researchers in statistics, materials science, engineering, physics, and related fields, as well as practitioners and technicians in materials science and mechanical engineering.

ISBN: 9783031147975

Standard No.: 10.1007/978-3-031-14797-5doiSubjects--Topical Terms:

633483
Topology.

LC Class. No.: QA611

Dewey Class. No.: 514

Fiber bundles = statistical models and applications /
LDR:02046nam a2200325 a 4500 001 1105490
003 DE-He213
005 20230315202525.0
006 m d
007 cr nn 008maaau
008 231013s2022 sz s 0 eng d
020 $a 9783031147975 $q (electronic bk.)
020 $a 9783031147968 $q (paper)
024 7 $a 10.1007/978-3-031-14797-5 $2 doi
035 $a 978-3-031-14797-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA611
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 514 $2 23
090 $a QA611 $b .F443 2022
245 0 0 $a Fiber bundles $h [electronic resource] : $b statistical models and applications / $c by James U. Gleaton ... [et al.].
260 $a Cham : $c 2022. $b Springer International Publishing : $b Imprint: Springer,
300 $a xiii, 157 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction and Preliminaries -- 2. Electrical Circuits of Ordinary Capacitors -- 3. Breakdown of Thin-Film Dielectrics -- 4. Cell Models for Dielectrics -- 5. Electrical Breakdown and the Breakdown Formalism -- 6. Statistical Properties of a Load-Sharing Bundle -- 7. Statistical Analysis of Kim and Lee (2004)'s Data -- 8. Circuits of Ordinary Capacitors -- 9. Size Effects Relationships Motivated by the Load-Sharing Cell Model -- 10. Concluding Comments and Future Research Directions.
520 $a This book presents a critical overview of statistical fiber bundle models, including existing models and potential new ones. The authors focus on both the physical and statistical aspects of a specific load-sharing example: the breakdown for circuits of capacitors and related dielectrics. In addition, they investigate some areas of open research. This book is designed for graduate students and researchers in statistics, materials science, engineering, physics, and related fields, as well as practitioners and technicians in materials science and mechanical engineering.
650 0 $a Topology. $3 633483
650 1 4 $a Applied Statistics. $3 1205141
650 2 4 $a Mathematical and Computational Engineering Applications. $3 1387767
650 2 4 $a Electrical and Electronic Engineering. $3 1388937
650 2 4 $a Mechanical Engineering. $3 670827
650 2 4 $a Electronic Circuits and Systems. $3 1366689
700 1 $a Gleaton, James U. $3 1414529
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-14797-5
950 $a Mathematics and Statistics (SpringerNature-11649)