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Bayesian networks in fault diagnosis : practice and application / Cai Baoping...[et al] (editor)
Singapore : World Scientific Publishing Co. Pte. Ltd., 2019
xv, 401pages. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 519.54
Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis. This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on engineering systems. Subsequently, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification are discussed in various cases. Researchers, professionals, academics and graduate students will better understand the theory and application, and benefit those who are keen to develop real BN-based fault diagnosis system.
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3
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Statistical analysis : microsoft Excel 2016 / Conrad George Carlberg
Indianapolis, Indiana, USA : Que, 2018
xiii, 552 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 005.54
Nationally reconized Excel expert Conrad Carlberg shows you how to use Excel 2016 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples and downloadable workbooks, Carlberg helps you choose the right technique for each problem and get the most out of Excel's statistical features. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes.-- Source other than Library of Congress
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Statistics applied with Excel : data analysis is (not) an art / Franz Kronthaler
Berlin, Heidelberg : Springer, 2023
xxiv, 343 pages. : illustrations (black and white, and color). ; 24 cm.
Ký hiệu phân loại (DDC): 519.5
This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art. The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can be easily transferred to other data sets.Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform.
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