Publications
| Title | Authors | Journal / Book | Year |
|---|---|---|---|
| An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies | Shmueli, G. and Kenett, R.S. | Proceeding of the 3rd International Workshop on Intelligent Data Analysis and Management, Kaohsiung, Taiwan, Springer Proceedings in Complexity, Eds. L Uden, L SL Wang, T-P Hong, H-C Yang and I-H Ting, pp. 1-13 | 2013 |
| Chapter 1: The Role of Statistical Methods in Modern Industry and Services | Kenett, R.S. and Zacks, S. | Modern Industrial Statistics: with applications in R, MINITAB and JMP, Second Edition | 2014 |
| Chapter 1: Risk management: a general view | Kenett, R.S. and Raanan, Y. | Operational Risk Management: A Practical Approach to Intelligent Data Analysis | 2011 |
| From Data to Information to Knowledge | Kenett, R.S. | Six Sigma Forum Magazine | 2008 |
| Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis | Kenett, R.S. and Salini, S. | Applied Stochastic Models in Business and Industry | 2011 |
| Bayesian Network Applications to Customer Surveys and InfoQ | Cugnata, F., Kenett R.S. and Salini S. | Procedia Economics and Finance | 2014 |
| Statistics: A Life Cycle View | Kenett, R.S. | Quality Engineering | 2015 |
| Rejoinder to Discussions of Statistics: A Life Cycle View | Kenett, R.S. | Quality Engineering | 2015 |
| Clarifying the terminology that describes scientific reproducibility | Kenett, R.S. and Shmueli, G. | Nature Methods, Vol. 12(8), p 699, August | 2015 |
| Official Statistics Data Integration for Enhanced Information Quality | Dalla Valle L. and Kenett R.S. | Quality and Reliability Engineering International | 2015 |
| On Information Quality | Kenett, R.S. and Shmueli, G. | Journal of the Royal Statistical Society, Series A, vol 177 issue 1, pp. 3-38 | 2014 |
| On Generating High InfoQ with Bayesian Networks | Kenett, R.S. | Quality Technology and Quantitative Management | 2016 |
| Helping Reviewers Ask the Right Questions: The InfoQ Framework for Reviewing Applied Research | Kenett R.S. and Shmueli G. | Journal of the International Association for Official Statistics | 2016 |
| A road map for applied data sciences supporting sustainability in advanced manufacturing: the information quality dimensions | Kenett, R.S., Zonnenshain, A. and Fortuna, G. | Procedia Manufacturing, 15th Global Conference on Sustainable Manufacturing, Haifa, Israel | 2017 |
| Data Analytics, Smart Grids and Information Quality | Kenett, R.S. | Modeling Smart Grids http://www.energy-workshop.cz/# | 2017 |
| A road map for applied data sciences supporting advanced manufacturing and services: the information quality dimensions | Kenett, R.S. | Innovation and Society, Naples | 2017 |
| Assessing the Value of Information of Data- Centric Activities in the Chemical Processing Industry 4.0 | Reis M and Kenett R.S. | AIChE Journal | 2018 |
| Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers | Greene T, Shmueli G, Soumya R and Fell J. | Big Data | 2019 |
| A JMP add in for InforQ assessment | Cox I. | Chapter 16 in Information Quality (InfoQ): The Potential of Data and Analytics to Generate Knowledge | 2016 |
| The Real Work of Data Science | Kenett R.S. and Redman T. | The Real Work of Data Science: Turning data into information, better decisions, and stronger organizations, Wiley | 2019 |
| InfoQ Excel Checklist | Kenett R.S. | 2021 | |
| Challenges of Modeling and Analysis in Cybermanufacturing: A Machine Learning and Computation Perspective | Kang S., Jun R., Deng, X. and Kenett R.S. | Journal of Intelligent Manufacturing | 2021 |
| The digital twin in Industry 4.0: a wide-angle perspective | Kenett R.S.and Bortman J. | Quality and Reliability Engineering International | 2021 |
| Quality 4.0—the challenging future of quality engineering | Zonnenshain A.and Kenett R.S. | Quality Engineering | 2020 |
| Generalizing research findings for enhanced reproducibility: an approach based on verbal alternative representations | Kenett R.S. and Rubinstein A | Scientometrics | 2021 |
| Techniques for analyzing and presenting official statistics indicators | Kenett R.S. and Maggino F | Statistical Journal of the IAOS | 2021 |
| Big Data, Analytics and Education: Challenges, Opportunities and an Example from a Large University Unit | Kenett R.S. and Prodromou T | Big Data in Education: Pedagogy and Research, Policy Implications of Research in Education | 2021 |
| The reproducibility of COVID-19 data analysis | Di Serio, C., Malgaroti, A., Ferrari, P. and Kenett, R.S. | PNAS Nexus | 2022 |
| Chapter 4: Different views of interpretability | Loss, B,, Kenett, R.S. and Secchi, P. | Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches | 2022 |
| The information quality framework for evaluating data science programs | Coleman, S. and Kenett, R.S. | Encyclopedia with Semantic Computing and Robotic Intelligence | 2017 |
| Modern Statistics A Computer-Based Approach with Python | Kenett R.S., Zacks, S. and Gedeck, P. | Modern Statistics A Computer-Based Approach with Python | 2022 |
| Functional data analysis and nonlinear regression models: an information quality perspective | Ron S. Kenett and Chris Gotwalt | Quality Engineering | 2023 |
| Self-supervised cross validation using data generation structure | Kenett R.S., Gotwalt, C., Freeman, L, and Deng, X. | Applied Stochastic Models in Business and Industry | 2022 |
| A journey in random forests and penalized regression in an industrial classification problem: How to use models to sharpen your questions | Ron S. Kenett , Chris Gotwalt and Jean Michel Poggi | Submitted | 2023 |
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