Springer handbook of engineering statistics / Hoang Pham, editor.
2023
TA340 .S67 2023
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Unlimited
Authorized users
Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Springer handbook of engineering statistics / Hoang Pham, editor.
Edition
Second edition.
ISBN
9781447175032 electronic book
1447175034 electronic book
9781447175025
1447175026
1447175034 electronic book
9781447175025
1447175026
Published
London : Springer, 2023.
Language
English
Description
1 online resource (1 volume) : illustrations (black and white, and color).
Other Standard Identifiers
10.1007/978-1-4471-7503-2 doi
Call Number
TA340 .S67 2023
Dewey Decimal Classification
620.0072/7
Summary
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.
Note
Previous edition: 2006.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Pham, Hoang, editor.
Series
Springer Handbooks, 2522-8706
Available in Other Form
Springer handbook of engineering statistics.
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Online Access
Record Appears in
Online Resources > Ebooks
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All Resources
Table of Contents
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.
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.