Articoli correlati a Industrial Statistics: A Computer-based Approach With...

Industrial Statistics: A Computer-based Approach With Python - Brossura

 
9783031284847: Industrial Statistics: A Computer-based Approach With Python

Sinossi

This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others.

The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cyber manufacturing and digital twins. The text then goes on to cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Each chapter includes exercises, data sets, and applications to supplement learning.

Industrial Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. In addition, it can be used in focused workshops combining theory, applications, and Python implementations. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included.

A second, closely related textbook is titled Modern Statistics: A Computer-Based Approach with Python. It covers topics such as probability models and distribution functions, statistical inference and bootstrapping, time series analysis and predictions,and supervised and unsupervised learning. These texts can be used independently or for consecutive courses.

The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/IndustrialStatistics/.

"This book is part of an impressive and extensive write up enterprise (roughly 1,000 pages!) which led to two books published by Birkhäuser. This book is on Industrial Statistics, an area in which the authors are recognized as major experts. The book combines classical methods (never to be forgotten!) and "hot topics" like cyber manufacturing, digital twins, A/B testing and Bayesian reliability. It is written in a very accessible style, focusing not only on HOW the methods are used, but also on WHY. In particular, the use of Python, throughout the book is highly appreciated. Python is probably the most important programming language used in modern analytics. The authors are warmly thanked for providing such a state-of-the-art book. It provides a comprehensive illustration of methods and examples based on the authors longstanding experience, and accessible code for learning and reusing in classrooms and on-site applications."

Professor Fabrizio Ruggeri
Research Director at the National Research Council, Italy
President of the International Society for Business and Industrial Statistics (ISBIS)
Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Dalla quarta di copertina

This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others.

The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cyber manufacturing and digital twins. The text then goes onto cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Each chapter includes exercises, data sets, and applications to supplement learning.

Industrial Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. In addition, it can be used in focused workshops combining theory, applications, and Python implementations. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included.

A second, closely related textbook is titled Modern Statistics: A Computer-Based Approach with Python. It covers topics such as probability models and distribution functions, statistical inference and bootstrapping, time series analysis and predictions, and supervised and unsupervised learning. These texts can be used independently or for consecutive courses.

The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/IndustrialStatistics/.

"This book is part of an impressive and extensive write up enterprise (roughly 1,000 pages!) which led to two books published by Birkhäuser. This book is on Industrial Statistics, an area in which the authors are recognized as major experts. The book combines classical methods (never to be forgotten!) and "hot topics" like cyber manufacturing, digital twins, A/B testing and Bayesian reliability. It is written in a very accessible style, focusing not only on HOW the methods are used, but also on WHY. In particular, the use of Python, throughout the book is highly appreciated. Python is probably the most important programming language used in modern analytics. The authors are warmly thanked for providing such a state-of-the-art book. It provides a comprehensive illustration of methods and examples based on the authors longstanding experience, and accessible code for learning and reusing in classrooms and on-site applications."

Professor Fabrizio Ruggeri
Research Director at the National Research Council, Italy
President of the International Society for Business and Industrial Statistics (ISBIS)
Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

  • EditoreBirkhauser
  • Data di pubblicazione2024
  • ISBN 10 3031284844
  • ISBN 13 9783031284847
  • RilegaturaCopertina flessibile
  • LinguaInglese
  • Numero di pagine496
  • Contatto del produttorenon disponibile

Compra usato

Condizioni: come nuovo
Unread book in perfect condition...
Visualizza questo articolo

EUR 17,48 per la spedizione da U.S.A. a Italia

Destinazione, tempi e costi

EUR 8,26 per la spedizione da Regno Unito a Italia

Destinazione, tempi e costi

Altre edizioni note dello stesso titolo

9783031284816: Industrial Statistics: A Computer-Based Approach With Python

Edizione in evidenza

ISBN 10:  303128481X ISBN 13:  9783031284816
Casa editrice: Birkhauser, 2023
Rilegato

Risultati della ricerca per Industrial Statistics: A Computer-based Approach With...

Foto dell'editore

KENETT, RON S.
Editore: Birkhäuser, 2024
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo Brossura

Da: Speedyhen, London, Regno Unito

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: NEW. Codice articolo NW9783031284847

Contatta il venditore

Compra nuovo

EUR 84,78
Convertire valuta
Spese di spedizione: EUR 8,26
Da: Regno Unito a: Italia
Destinazione, tempi e costi

Quantità: 1 disponibili

Aggiungi al carrello

Foto dell'editore

Peter Gedeck
Editore: Birkhauser Verlag AG, 2024
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo PAP

Da: PBShop.store UK, Fairford, GLOS, Regno Unito

Valutazione del venditore 4 su 5 stelle 4 stelle, Maggiori informazioni sulle valutazioni dei venditori

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo GB-9783031284847

Contatta il venditore

Compra nuovo

EUR 94,97
Convertire valuta
Spese di spedizione: EUR 6,52
Da: Regno Unito a: Italia
Destinazione, tempi e costi

Quantità: 1 disponibili

Aggiungi al carrello

Foto dell'editore

Peter Gedeck
Editore: Birkhauser Verlag AG, 2024
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo PAP

Da: PBShop.store US, Wood Dale, IL, U.S.A.

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo GB-9783031284847

Contatta il venditore

Compra nuovo

EUR 101,67
Convertire valuta
Spese di spedizione: EUR 0,56
Da: U.S.A. a: Italia
Destinazione, tempi e costi

Quantità: 1 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Kenett, Ron S.; Zacks, Shelemyahu; Gedeck, Peter
Editore: Birkhäuser, 2024
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo Brossura

Da: GreatBookPricesUK, Woodford Green, Regno Unito

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: New. Codice articolo 46850414-n

Contatta il venditore

Compra nuovo

EUR 94,96
Convertire valuta
Spese di spedizione: EUR 17,71
Da: Regno Unito a: Italia
Destinazione, tempi e costi

Quantità: 3 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Kenett, Ron S.; Zacks, Shelemyahu; Gedeck, Peter
Editore: Birkhäuser, 2024
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo Brossura

Da: GreatBookPrices, Columbia, MD, U.S.A.

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: New. Codice articolo 46850414-n

Contatta il venditore

Compra nuovo

EUR 99,28
Convertire valuta
Spese di spedizione: EUR 17,48
Da: U.S.A. a: Italia
Destinazione, tempi e costi

Quantità: 3 disponibili

Aggiungi al carrello

Foto dell'editore

Kenett, Ron S.; Zacks, Shelemyahu; Gedeck, Peter
Editore: Birkhäuser, 2024
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo Brossura

Da: Ria Christie Collections, Uxbridge, Regno Unito

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: New. In. Codice articolo ria9783031284847_new

Contatta il venditore

Compra nuovo

EUR 107,36
Convertire valuta
Spese di spedizione: EUR 10,62
Da: Regno Unito a: Italia
Destinazione, tempi e costi

Quantità: 1 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Kenett, Ron S.|Zacks, Shelemyahu|Gedeck, Peter
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo Brossura

Da: moluna, Greven, Germania

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: New. This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the auth. Codice articolo 1402956134

Contatta il venditore

Compra nuovo

EUR 109,06
Convertire valuta
Spese di spedizione: EUR 9,70
Da: Germania a: Italia
Destinazione, tempi e costi

Quantità: 1 disponibili

Aggiungi al carrello

Foto dell'editore

Kenett, Ron S.
Editore: Birkh?user, 2024
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo Brossura

Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: New. Codice articolo V9783031284847

Contatta il venditore

Compra nuovo

EUR 117,26
Convertire valuta
Spese di spedizione: EUR 2,00
Da: Irlanda a: Italia
Destinazione, tempi e costi

Quantità: 1 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Ron S. Kenett
ISBN 10: 3031284844 ISBN 13: 9783031284847
Nuovo Taschenbuch

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Taschenbuch. Condizione: Neu. Neuware -This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 496 pp. Englisch. Codice articolo 9783031284847

Contatta il venditore

Compra nuovo

EUR 106,99
Convertire valuta
Spese di spedizione: EUR 15,00
Da: Germania a: Italia
Destinazione, tempi e costi

Quantità: 2 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Kenett, Ron S.; Zacks, Shelemyahu; Gedeck, Peter
Editore: Birkhäuser, 2024
ISBN 10: 3031284844 ISBN 13: 9783031284847
Antico o usato Brossura

Da: GreatBookPrices, Columbia, MD, U.S.A.

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: As New. Unread book in perfect condition. Codice articolo 46850414

Contatta il venditore

Compra usato

EUR 110,55
Convertire valuta
Spese di spedizione: EUR 17,48
Da: U.S.A. a: Italia
Destinazione, tempi e costi

Quantità: 3 disponibili

Aggiungi al carrello

Vedi altre 3 copie di questo libro

Vedi tutti i risultati per questo libro