國立高雄大學圖資館 |

登入

回首頁

Springer handbook of engineering statistics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Springer handbook of engineering statisticsedited by Hoang Pham.
其他作者:	Pham, Hoang.
出版者:	London :Springer London :2023.
面頁冊數:	xxv, 1150 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	EngineeringStatistical methods.
電子資源:	https://doi.org/10.1007/978-1-4471-7503-2
ISBN:	9781447175032$q(electronic bk.)

Springer handbook of engineering statistics
Springer handbook of engineering statistics[electronic resource] /edited by Hoang Pham. - Second edition. - London :Springer London :2023. - xxv, 1150 p. :ill., digital ;24 cm. - Springer handbooks,2522-8706. - Springer handbooks..

Part I: Fundamental Statistics and its Applications -- Part II: Process Monitoring and Improvement -- Part III: Reliability Models and Survival Analysis -- Part IV: Advanced Statistical Methods and Modeling -- Part V: Statistical Computing and Data Mining -- Part VI: Applications in Engineering Statistics.

This handbook gathers the full range of statistical techniques and tools required by engineers, analysts and scientists from all fields. The book is a comprehensive place to look for methods and solutions to practical problems within - but not limited to - data science, quality assurance in design and production engineering. The tools of engineering statistics are relevant for modeling and prediction of products, processes and services, but also for the analysis of ongoing processes, the reliability and life-cycle assessment of products and services, and finally to achieve realistic predictions on how to improve processes and products. This book contains contributions from around 115 leading experts in statistics, biostatistics, engineering statistics, reliability engineering, and related areas. It covers the various methods as well as their applications from industrial control to failure mechanism and analysis, medicine, business intelligence, electronic packaging, and risk management. It enables readers to choose the most appropriate method through its wide range of selection of statistical techniques and tools. For the second edition all chapters have been thoroughly updated to reflect the current state-of-the-art. Included are also more than 30 completely new contriubutions revolving around current trends related to modern statistical computing, including: data science, big data, machine learning, optimization, data fusion, high dimensional data, voting systems, life testing, related statistical artificial intelligence (AI) and reliability physics and failure mode mechanisms. This Springer Handbook of Engineering Statistics provides comprehensive literature with up-to-date statistical methodologies, algorithms, computation methods and tools that can be served as a main reference for researchers, engineers, business analysts, educators and students in all applied fields affected by statistics.

ISBN: 9781447175032$q(electronic bk.)

Standard No.: 10.1007/978-1-4471-7503-2doiSubjects--Topical Terms:

181883
Engineering
--Statistical methods.

LC Class. No.: TA340 / .S67 2023

Dewey Class. No.: 620.00727

Springer handbook of engineering statistics
LDR:03347nmm a2200373 a 4500 001 643377
003 DE-He213
005 20230420094949.0
006 m d
007 cr nn 008maaau
008 231123s2023 enk s 0 eng d
020 $a 9781447175032$q(electronic bk.)
020 $a 9781447175025$q(paper)
024 7 $a 10.1007/978-1-4471-7503-2 $2 doi
035 $a 978-1-4471-7503-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA340 $b .S67 2023
072 7 $a TGP $2 bicssc
072 7 $a TGP $2 bicssc
072 7 $a TEC032000 $2 bisacsh
072 7 $a TGP $2 thema
072 7 $a TGP $2 thema
082 0 4 $a 620.00727 $2 23
090 $a TA340 $b .S769 2023
245 0 0 $a Springer handbook of engineering statistics $h [electronic resource] / $c edited by Hoang Pham.
250 $a Second edition.
260 $a London : $b Springer London : $b Imprint: Springer, $c 2023.
300 $a xxv, 1150 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer handbooks, $x 2522-8706
505 0 $a Part I: Fundamental Statistics and its Applications -- Part II: Process Monitoring and Improvement -- Part III: Reliability Models and Survival Analysis -- Part IV: Advanced Statistical Methods and Modeling -- Part V: Statistical Computing and Data Mining -- Part VI: Applications in Engineering Statistics.
520 $a This handbook gathers the full range of statistical techniques and tools required by engineers, analysts and scientists from all fields. The book is a comprehensive place to look for methods and solutions to practical problems within - but not limited to - data science, quality assurance in design and production engineering. The tools of engineering statistics are relevant for modeling and prediction of products, processes and services, but also for the analysis of ongoing processes, the reliability and life-cycle assessment of products and services, and finally to achieve realistic predictions on how to improve processes and products. This book contains contributions from around 115 leading experts in statistics, biostatistics, engineering statistics, reliability engineering, and related areas. It covers the various methods as well as their applications from industrial control to failure mechanism and analysis, medicine, business intelligence, electronic packaging, and risk management. It enables readers to choose the most appropriate method through its wide range of selection of statistical techniques and tools. For the second edition all chapters have been thoroughly updated to reflect the current state-of-the-art. Included are also more than 30 completely new contriubutions revolving around current trends related to modern statistical computing, including: data science, big data, machine learning, optimization, data fusion, high dimensional data, voting systems, life testing, related statistical artificial intelligence (AI) and reliability physics and failure mode mechanisms. This Springer Handbook of Engineering Statistics provides comprehensive literature with up-to-date statistical methodologies, algorithms, computation methods and tools that can be served as a main reference for researchers, engineers, business analysts, educators and students in all applied fields affected by statistics.
650 0 $a Engineering $x Statistical methods. $3 181883
650 1 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 918920
650 2 4 $a Business and Management. $2 eflch $3 639169
650 2 4 $a Industrial Chemistry. $3 873288
700 1 $a Pham, Hoang. $3 260639
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer handbooks. $3 772144
856 4 0 $u https://doi.org/10.1007/978-1-4471-7503-2
950 $a Mathematics and Statistics (SpringerNature-11649)