本の詳細
形式
ペーパーバック
ページ数
417
言語
英語
公開されました
Aug 23, 2016
出版社
Birkhäuser
版
Softcover reprint of the original 1st ed. 2013
ISBN-10
149395167X
ISBN-13
9781493951673
説明
This book offers a deep dive into quantile-based methodologies within the context of reliability analysis, making it an invaluable resource for professionals in industries reliant on statistical rigor. Authored by experts N. Unnikrishnan Nair, N. Balakrishnan, and P.G. Sankaran, it serves as a comprehensive guide to understanding how quantile functions can enhance the assessment of system reliability.
The authors adeptly bridge theoretical concepts with practical applications, providing readers with a robust framework for tackling complex reliability problems. They emphasize real-world examples, illustrating how quantile-based approaches can lead to more accurate predictions and sound decision-making in various industrial settings. The clarity of explanations ensures that both novice and seasoned statisticians can engage with the material effectively.
Throughout the book, readers will find not only detailed methodologies but also insights that pave the way for future research and innovation in reliability analysis. This work stands as a testament to the growing significance of advanced statistical techniques in addressing today’s industrial challenges.
The authors adeptly bridge theoretical concepts with practical applications, providing readers with a robust framework for tackling complex reliability problems. They emphasize real-world examples, illustrating how quantile-based approaches can lead to more accurate predictions and sound decision-making in various industrial settings. The clarity of explanations ensures that both novice and seasoned statisticians can engage with the material effectively.
Throughout the book, readers will find not only detailed methodologies but also insights that pave the way for future research and innovation in reliability analysis. This work stands as a testament to the growing significance of advanced statistical techniques in addressing today’s industrial challenges.
ジャンル
科学&技術
ビジネス&経済
健康とウェルネス