Industrial Statistics: A Computer-Based Approach with Python

Author:   Ron S. Kenett ,  Shelemyahu Zacks ,  Peter Gedeck
Publisher:   Birkhauser Verlag AG
Edition:   1st ed. 2023
ISBN:  

9783031284816


Pages:   472
Publication Date:   18 June 2023
Format:   Hardback
Availability:   In Print   Availability explained
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Industrial Statistics: A Computer-Based Approach with Python


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Author:   Ron S. Kenett ,  Shelemyahu Zacks ,  Peter Gedeck
Publisher:   Birkhauser Verlag AG
Imprint:   Birkhauser Verlag AG
Edition:   1st ed. 2023
Weight:   0.994kg
ISBN:  

9783031284816


ISBN 10:   303128481
Pages:   472
Publication Date:   18 June 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Professor Ron Kenett is Chairman of the KPA Group, Israel and Senior Research Fellow at the Samuel Neaman Institute, Technion, Haifa Israel and Professor, University of Turin, Italy. He is an applied statistician combining expertise in academic, consulting and business domains. Shelemyahu Zacks is a Distinguished  Professor emeritus in the Mathematical Sciences department of Binghamton University.He is a Fellow of the IMS, ASA, AAAS and an elected member of the ISI. Professor Zacks has published eleven books and more than 170 journal articles on subjects of design of experiments, statistical process control, statistical decision theory, sequential analysis, reliability and sampling from finite populations. Professor Zacks has served as an Editor and Associate Editor of several Statistics and Probability journals. Dr. Peter Gedeck, a Senior Data Scientist at Collaborative Drug Discovery, specializes in the development of machine learning algorithms to predict biological and physicochemical properties of drug candidates. In addition, he teaches data science at the University of Virginia and at statistics.com.

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