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Ron S. Kenett

Personal Details

First Name:Ron
Middle Name:S.
Last Name:Kenett
Suffix:
RePEc Short-ID:pke139
http://www.kpa-group.com
POBox 2525, Raanana 43100, Israel

Affiliation

(63%) Samuel Neaman Institute, Technion (Samuel Neaman Institute, Technion)

http://www.neaman.org.il/EN/Ron-Kenett
Israel, Haifa

(31%) KPA Group (KPA Group)

http://www.kpa-group.com/
Israel

(4%) Institute for Drug Research (Institute for Drug Research, School of Pharmacy, Hebrew University)

https://medicine.ekmd.huji.ac.il/schools/pharmacy/En/research/Pages/default.aspx
Israel, Jerusalem

(1%) Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche
Università degli Studi di Torino

Torino, Italy
http://www.esomas.unito.it/

: +39 011 670.6129
+39 011 670.6062
Corso Unione Sovietica, 218/bis - 10134 TORINO
RePEc:edi:dstorit (more details at EDIRC)

(1%) Ekonomska fakuteta
Univerza v Ljubljani

Ljubljana, Slovenia
http://www.ef.uni-lj.si/

: +386 (1) 5892-400
+386 (1) 5892-698
Kardeljeva ploscad 17, 1101 Ljubljana
RePEc:edi:feuljsi (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Silvia Figini & Ron Kenett & SILVIA SALINI, 2010. "Integrating Operational and Financial Risk Assessments," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1099, Universitá degli Studi di Milano.
  2. Silvia Salini & Ron Kenett, 2008. "Relative Linkage Disequilibrium: A New measure for association rules," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1069, Universitá degli Studi di Milano.

Articles

  1. Kenett Ron S. & Shmueli Galit, 2016. "From Quality to Information Quality in Official Statistics," Journal of Official Statistics, De Gruyter Open, vol. 32(4), pages 867-885, December.
  2. Ron S. Kenett & Galit Shmueli, 2014. "On information quality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 3-38, January.
  3. Muslima Zahan & Ron S. Kenett, 2013. "Modeling and Forecasting Energy Consumption in the Manufacturing Industry in South Asia," International Journal of Energy Economics and Policy, Econjournals, vol. 3(1), pages 87-98.
  4. Silvia Salini & Ron Kenett, 2009. "Bayesian networks of customer satisfaction survey data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1177-1189.
  5. Ron Kenett, 2006. "On the planning and design of sample surveys," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(4), pages 405-415.
  6. R. Kenett & P. Thyregod, 2006. "Aspects of statistical consulting not taught by academia," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(3), pages 396-411.
  7. Agnihothri, Saligrama R. & Kenett, Ron S., 1995. "The impact of defects on a process with rework," European Journal of Operational Research, Elsevier, vol. 80(2), pages 308-327, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Ron S. Kenett & Galit Shmueli, 2014. "On information quality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 3-38, January.

    Cited by:

    1. Federica Cugnata & Silvia Salini, 2014. "Model-based approach for importance–performance analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3053-3064, November.
    2. Askitas, Nikos, 2016. "Big Data Is a Big Deal But How Much Data Do We Need?," IZA Discussion Papers 9988, Institute for the Study of Labor (IZA).
    3. Biemer Paul & Trewin Dennis & Bergdahl Heather & Japec Lilli, 2014. "A System for Managing the Quality of Official Statistics," Journal of Official Statistics, De Gruyter Open, vol. 30(3), pages 1-35, September.

  2. Silvia Salini & Ron Kenett, 2009. "Bayesian networks of customer satisfaction survey data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1177-1189.

    Cited by:

    1. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2017. "Inferential confidence intervals for fuzzy analysis of teaching satisfaction," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1513-1529, July.
    2. Di Pietro, Laura & Guglielmetti Mugion, Roberta & Musella, Flaminia & Renzi, Maria Francesca & Vicard, Paola, 2017. "Monitoring an airport check-in process by using Bayesian networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 235-247.
    3. Federica Cugnata & Silvia Salini, 2014. "Model-based approach for importance–performance analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3053-3064, November.
    4. Zhang, Ya & Zhao, Hai & He, Xuan & Pei, Fan-Dong & Li, Guang-Guang, 2016. "Bayesian prediction of earthquake network based on space–time influence domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 138-149.
    5. P. Berchialla & S. Snidero & A. Stancu & C. Scarinzi & R. Corradetti & D. Gregori, 2012. "Understanding the epidemiology of foreign body injuries in children using a data-driven Bayesian network," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(4), pages 867-874, September.
    6. Claudia Tarantola & Paola Vicard & Ioannis Ntzoufras, 2012. "Monitoring and Improving Greek Banking Services Using Bayesian Networks: an Analysis of Mystery Shopping Data," Quaderni di Dipartimento 160, University of Pavia, Department of Economics and Quantitative Methods.
    7. Anna Giunta & Massimo Florio & Francesco Giffoni & Emanuela Sirtori, 2017. "Big Science, Learning And Innovation: Evidence From Cern Procurement," Departmental Working Papers of Economics - University 'Roma Tre' 0225, Department of Economics - University Roma Tre.
    8. Pier Ferrari & Silvia Salini, 2011. "Complementary Use of Rasch Models and Nonlinear Principal Components Analysis in the Assessment of the Opinion of Europeans About Utilities," Journal of Classification, Springer;The Classification Society, vol. 28(1), pages 53-69, April.
    9. Giancarlo MANZI & Pier Alda FERRARI, 2014. "Statistical methods for evaluating satisfaction with public services," CIRIEC Working Papers 1404, CIRIEC - Université de Liège.
    10. Flaminia Musella & Paola Vicard, 2015. "Object-oriented Bayesian networks for complex quality management problems," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 115-133, January.
    11. Lidia Ceriani & Chiara Gigliarano, 2016. "Multidimensional well-being: A Bayesian Networks approach," Working Papers 399, ECINEQ, Society for the Study of Economic Inequality.

  3. Ron Kenett, 2006. "On the planning and design of sample surveys," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(4), pages 405-415.

    Cited by:

    1. Silvia SALINI & Ron S. KENETT, 2007. "Bayesian networks of customer satisfaction survey data," Departmental Working Papers 2007-33, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

  4. R. Kenett & P. Thyregod, 2006. "Aspects of statistical consulting not taught by academia," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(3), pages 396-411.

    Cited by:

    1. Adrian Bowman, 2007. "Interdisciplinary research: the importance of learning other people’s language," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(4), pages 361-365, December.

  5. Agnihothri, Saligrama R. & Kenett, Ron S., 1995. "The impact of defects on a process with rework," European Journal of Operational Research, Elsevier, vol. 80(2), pages 308-327, January.

    Cited by:

    1. Jaber, Mohamad Y. & Guiffrida, Alfred L., 2004. "Learning curves for processes generating defects requiring reworks," European Journal of Operational Research, Elsevier, vol. 159(3), pages 663-672, December.
    2. Modak, Nikunja Mohan & Panda, Shibaji & Sana, Shib Sankar, 2016. "Three-echelon supply chain coordination considering duopolistic retailers with perfect quality products," International Journal of Production Economics, Elsevier, vol. 182(C), pages 564-578.
    3. Jaber, Mohamad Y. & Guiffrida, Alfred L., 2008. "Learning curves for imperfect production processes with reworks and process restoration interruptions," European Journal of Operational Research, Elsevier, vol. 189(1), pages 93-104, August.
    4. Ashoke Kumar Bera & Dipak Kumar Jana, 2017. "Multi-item imperfect production inventory model in Bi-fuzzy environments," OPSEARCH, Springer;Operational Research Society of India, vol. 54(2), pages 260-282, June.
    5. Sarker, Bhaba R. & Jamal, A.M.M. & Mondal, Sanjay, 2008. "Optimal batch sizing in a multi-stage production system with rework consideration," European Journal of Operational Research, Elsevier, vol. 184(3), pages 915-929, February.
    6. Y H Kang & S S Kim & H J Shin, 2010. "A dispatching algorithm for parallel machines with rework processes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 144-155, January.
    7. Bazan, Ehab & Jaber, Mohamad Y. & Zanoni, Simone & Zavanella, Lucio E., 2014. "Vendor Managed Inventory (VMI) with Consignment Stock (CS) agreement for a two-level supply chain with an imperfect production process with/without restoration interruptions," International Journal of Production Economics, Elsevier, vol. 157(C), pages 289-301.
    8. Jaber, M.Y. & Bonney, M. & Moualek, I., 2009. "An economic order quantity model for an imperfect production process with entropy cost," International Journal of Production Economics, Elsevier, vol. 118(1), pages 26-33, March.

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