Details about Ron S. Kenett

Access statistics for papers by Ron S. Kenett.

Last updated 2024-07-06. Update your information in the RePEc Author Service.

Short-id: pke139

Working Papers

2023

1. Adversarial AI in Insurance: Pervasiveness and Resilience
   Papers, arXiv.org

2010

2. Integrating Operational and Financial Risk Assessments
   UNIMI - Research Papers in Economics, Business, and Statistics, Universitá degli Studi di Milano
   Also in Departmental Working Papers, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano (2010)

2008

3. Relative Linkage Disequilibrium: A New measure for association rules
   UNIMI - Research Papers in Economics, Business, and Statistics, Universitá degli Studi di Milano

2007

4. Bayesian networks of customer satisfaction survey data
   Departmental Working Papers, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano View citations (3)
   See also Journal Article Bayesian networks of customer satisfaction survey data, Journal of Applied Statistics, Taylor & Francis Journals (2009) View citations (17) (2009)

Journal Articles

2023

1. Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies
   Risks, 2023, 11, (1), 1-17
2. Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective
   Journal of Intelligent Manufacturing, 2023, 34, (2), 415-428

2022

3. Integrated Analysis of Behavioural and Health COVID-19 Data Combining Bayesian Networks and Structural Equation Models
   IJERPH, 2022, 19, (8), 1-26 View citations (1)

2021

4. Generalizing research findings for enhanced reproducibility: an approach based on verbal alternative representations
   Scientometrics, 2021, 126, (5), 4137-4151

2020

5. A review of data science in business and industry and a future view by G. Vicario and S. Coleman
   Applied Stochastic Models in Business and Industry, 2020, 36, (1), 30-32

2019

6. A review of: The class of CUB models: statistical foundations, inferential issues and empirical evidence by Domenico Piccolo and Rosaria Simone
   Statistical Methods & Applications, 2019, 28, (3), 457-458

2016

7. From Quality to Information Quality in Official Statistics
   Journal of Official Statistics, 2016, 32, (4), 867-885

2015

8. A special issue on: Actual impact and future perspectives on stochastic modelling in business and industry
   Applied Stochastic Models in Business and Industry, 2015, 31, (1), 1-2

2014

9. On information quality
   Journal of the Royal Statistical Society Series A, 2014, 177, (1), 3-38 View citations (15)

2013

10. Industrial statistics applications in the semiconductor industry: some examples
    Applied Stochastic Models in Business and Industry, 2013, 29, (4), 319-333
11. Modeling and Forecasting Energy Consumption in the Manufacturing Industry in South Asia
    International Journal of Energy Economics and Policy, 2013, 3, (1), 87-98 View citations (2)

2012

12. ‘The COM‐Poisson model for count data: a survey of methods and applications’ by K. Sellers, S. Borle and G. Shmueli
    Applied Stochastic Models in Business and Industry, 2012, 28, (2), 117-121

2011

13. Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis
    Applied Stochastic Models in Business and Industry, 2011, 27, (5), 465-475 View citations (12)
14. On the planning and design of sample surveys
    Journal of Applied Statistics, 2011, 38, (11), 2681-2681
    Also in Journal of Applied Statistics, 2006, 33, (4), 405-415 (2006) View citations (1)
15. Rejoinder to ‘Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis’
    Applied Stochastic Models in Business and Industry, 2011, 27, (5), 484-486 View citations (6)

2009

16. Bayesian networks of customer satisfaction survey data
    Journal of Applied Statistics, 2009, 36, (11), 1177-1189 View citations (17)
    See also Working Paper Bayesian networks of customer satisfaction survey data, Departmental Working Papers (2007) View citations (3) (2007)
17. ‘Post‐financial meltdown: What do the services industries need from us now?’ by Roger W. Hoerl and Ronald D. Snee: Discussion 2
    Applied Stochastic Models in Business and Industry, 2009, 25, (5), 527-531

2006

18. Aspects of statistical consulting not taught by academia
    Statistica Neerlandica, 2006, 60, (3), 396-411 View citations (4)

1995

19. The impact of defects on a process with rework
    European Journal of Operational Research, 1995, 80, (2), 308-327 View citations (9)