Ron S. Kenett
Ph.D. Weizmann Institute of Science 1979
Facts
11 properties- Instance of
- human
- Date of birth
- 1950
- Occupation
- university teacher, business consultant, mathematician
- Employer
- Samuel Neaman Institute for National Policy Research, University of Turin, Binghamton University, University of Wisconsin–Madison, Bell Labs, Alcaltel-Lucent, Stanford University[6]
- Doctoral advisor
- Samuel Karlin[8]
- Maintained by WikiProject
- WikiProject Mathematics[15]
🏷️ Also known as
en Ron Kenett
en Ron S Kenett
en Ron S. Kenett
en R S Kenett
en R. S. Kenett
en R.S. Kenett
en RS Kenett
es Kenett RS
he רון קנת
🔖 Identifiers · 32
- ISNI
- 0000000078753871
- ORCID iD
- 0000-0003-2315-0477
- VIAF cluster ID
- 85397417
- Library of Congress authority ID
- n97105617
- GND ID
- 13007120X
- BIBSYS ID
- 2109835
- Bibliothèque nationale de France ID
- 172379008
- Canadiana Name Authority ID
- ncf12114390
- CiNii Research ID
- 1140563741718560512
- DBLP author ID
- 00/7568
- Freebase ID
- /m/0bbgny9
- IdRef ID
- 12005955X
Show all 32 identifiers +20
- JudaicaLink person (GND) ID
- 13007120X
- Loop ID
- 254111
- MR Author ID
- 474122
- Mathematics Genealogy Project ID
- 19266
- NACSIS-CAT author ID
- DA12213530
- NL CR AUT ID
- xx0015260
- NUKAT ID
- n2008146843
- National Library of Israel J9U ID
- 987007577046705171
- National Library of Korea ID
- KAC202313423
- National Library of Latvia ID
- 000164435
- National Library of Poland MMS ID
- 9810604363905606
- National Virtual Library of India ID
- 286999
- Nationale Thesaurus voor Auteursnamen ID
- 170674940
- RERO ID (legacy)
- A003449288
- SHARE Catalogue author ID
- 117697
- Scopus author ID
- 6602155136
- Semantic Scholar author ID
- 47413073
- WorldCat Entities ID
- E39PBJf8rvJqQ7yvVKy4frPWjC
- Yale LUX ID
- person/349db105-39ed-48c6-bc38-0d2c38b40d71
- ZbMATH author ID
- kenett.ron-s
🔗 Connections
Author of 11
Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies,
A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges,
Bayesian Networks in Survey Data: Robustness and Sensitivity Issues,
Challenges and Opportunities in Simulations and Computer Experiments in Industrial Statistics: An Industry 4.0 Perspective,
Compositional Data Methods in Customer Survey Analysis,
Integrated Analysis of Behavioural and Health COVID-19 Data Combining Bayesian Networks and Structural Equation Models,
Official Statistics Data Integration for Enhanced Information Quality,
On generating high InfoQ with Bayesian networks
+3 more
← Authored by 11
Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies,
A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges,
Bayesian Networks in Survey Data: Robustness and Sensitivity Issues,
Challenges and Opportunities in Simulations and Computer Experiments in Industrial Statistics: An Industry 4.0 Perspective,
Compositional Data Methods in Customer Survey Analysis,
Integrated Analysis of Behavioural and Health COVID-19 Data Combining Bayesian Networks and Structural Equation Models,
Official Statistics Data Integration for Enhanced Information Quality,
On generating high InfoQ with Bayesian networks
+3 more
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Summary
Ron S. Kenett was born on January 1, 1950[1]. He has worked as a university teacher[2], business consultant[3], and mathematician[4].
FAQs
What did Ron S. Kenett do for work?
Ron S. Kenett worked as a university teacher[2], business consultant[3], and mathematician[4].
Where did Ron S. Kenett go to school?
Ron S. Kenett was educated at Weizmann Institute of Science[7].