Modern Industrial Statistics (eBook)
880 Seiten
Wiley (Verlag)
978-1-119-71496-5 (ISBN)
Ron S. Kenett is Chairman of the KPA Group and Senior Research Fellow at the Samuel Neaman Institute, Israel. He is an applied statistician combining expertise in academic, consulting, and business domains. He is a former Professor of Operations Management at The State University of New York at Binghamton, Visiting Scholar at Stanford University, Member of Technical Staff at Bell Laboratories and Director of Statistical Methods for Tadiran Telecom. Ron is a past President of the Israel Statistical Association and of the European Network for Business and Industrial Statistics (ENBIS) and was awarded the 2013 Greenfield Medal by the Royal Statistical Society and the 2018 Box Medal by ENBIS for outstanding contributions to applied statistics. He has authored and co-authored over 250 papers and 14 books. Shelemyahu Zacks is Distinguished Emeritus Professor of Mathematical Sciences at Binghamton University, Binghamton, New York, USA. He has published 10 books and close to 200 papers. Zacks is known for his groundbreaking articles on change-point problems, common mean problems, Bayes sequential strategies, and reliability analysis. His studies on survival probabilities in crossing minefields and his contributions in stochastic visibility in random fields are regarded as fundamental work in naval research and other defense related areas. He has served on the editorial boards of several prestigious journals including JASA, JSPI and Annals of Statistics, and is a Fellow of many associations including the AMS, ASA and AAAS.
Preface to the third edition
Preface to the second edition (abbreviated)
Preface to the first edition (abbreviated)
List of abbreviations
Part A: Modern Statistics: A Computer Based Approach
1 Statistics and Analytics in Modern Industry
2 Analyzing Variability: Descriptive Statistics
3 Probability Models and Distribution Functions
4 Statistical Inference and Bootstrapping
5 Variability in Several Dimensions and Regression Models
6 Sampling for Estimation of Finite Population Quantities
7. Time Series Analysis and Prediction
8 Modern analytic methods
Part B: Modern Industrial Statistics: Design and Control of Quality and Reliability
9 The Role of Industrial Analytics in Modern Industry
10 Basic Tools and Principles of Process Control
11 Advanced Methods of Statistical Process Control
12 Multivariate Statistical Process Control
13 Classical Design and Analysis of Experiments
14 Quality by Design
15 Computer Experiments
16 Reliability Analysis
17 Bayesian Reliability Estimation and Prediction
18 Sampling Plans for Batch and Sequential Inspection
List of R packages
References
Author index
Subject index
Solution manual
Appendices (available on book?s website)
Appendix I Intro to R Appendix II Intro to MINITAB and Matrix Algebra Appendix III R scripts Appendix IV mistat Appendix V csv Files Appendix VI MINITAB macros Appendix VII JMP scripts
Erscheint lt. Verlag | 18.5.2021 |
---|---|
Reihe/Serie | Statistics in Practice | Statistics in Practice |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
Schlagworte | Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Engineering statistics • Finanz- u. Wirtschaftsstatistik • Qualität u. Zuverlässigkeit • Quality & Reliability • Statistics • Statistics for Finance, Business & Economics • Statistik • Statistik in den Ingenieurwissenschaften |
ISBN-10 | 1-119-71496-6 / 1119714966 |
ISBN-13 | 978-1-119-71496-5 / 9781119714965 |
Haben Sie eine Frage zum Produkt? |
Größe: 60,6 MB
Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM
Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belletristik und Sachbüchern. Der Fließtext wird dynamisch an die Display- und Schriftgröße angepasst. Auch für mobile Lesegeräte ist EPUB daher gut geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine
Geräteliste und zusätzliche Hinweise
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich