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Making quantitative research work : from positivist dogma to actual social scientific inquiry
Zyphur, Michael J.; Pierides, Dean C. - In: Journal of business ethics : JBE 167 (2020) 1, pp. 49-62
Persistent link: https://www.econbiz.de/10012316421
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A stochastic programming approach for the disassembly line balancing with hazardous task failures
Kalaycilar, Eda Goksoy; Batun, Sakine; Azizoğlu, Meral - In: International journal of production research 60 (2022) 10, pp. 3237-3262
Persistent link: https://www.econbiz.de/10013499106
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Change analysis of a dynamic copula for measuring dependence in multivariate financial data
Guegan, D.; Zhang, J. - In: Quantitative Finance 10 (2010) 4, pp. 421-430
This paper proposes a new approach to measure dependencies in multivariate financial data. Data in finance and insurance often cover a long time period. Therefore, the economic factors may induce some changes within the dependence structure. Recently, two methods have been proposed using copulas...
Persistent link: https://www.econbiz.de/10008675014
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Economics, an uncertain glory : a comment on "what is wrong with the West's economies?" by Edmund Phelps
Kumar, Vikas - In: Homo oeconomicus : HOE ; journal of behavioral and … 33 (2016) 4, pp. 321-332
Persistent link: https://www.econbiz.de/10012225484
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Handbook for applied modeling : non-Gaussian and correlated data
Riggs, Jamie D.; Lalonde, Trent L. - 2017
Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This...
Persistent link: https://www.econbiz.de/10013285088
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Analyzing tactical control strategies for aircraft arrivals at an airport using a queuing model
Itoh, Eri; Mitici, Mihaela - In: Journal of air transport management 89 (2020), pp. 1-13
Persistent link: https://www.econbiz.de/10012384173
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The value of Morningstar ratings: evidence using stochastic data envelopment analysis
Watson, John; Wickramanayke, J.; Premachandra, I.M. - In: Managerial Finance 37 (2011), pp. 94-116
of the efficiency figure. Efficiency is measured by looking at fund performance, fund cost, fund risk exposure and … manager ability over the period December 1990-November 2005. Findings – The introduction to portfolio performance evaluation … of a new tool for evaluating fund performance (namely, the efficiency rating) is recommended. From a sample of Australian …
Persistent link: https://www.econbiz.de/10010747832
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The value of Morningstar ratings: evidence using stochastic data envelopment analysis
Watson, John; Wickramanayke, J.; Premachandra, I.M. - In: Managerial Finance 37 (2011) 2, pp. 94-116
of the efficiency figure. Efficiency is measured by looking at fund performance, fund cost, fund risk exposure and … manager ability over the period December 1990‐November 2005. Findings – The introduction to portfolio performance evaluation … of a new tool for evaluating fund performance (namely, the efficiency rating) is recommended. From a sample of Australian …
Persistent link: https://www.econbiz.de/10014940151
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Toward Approaches to Big Data Analysis for Terroristic Behavior Identification: Child Soldiers in Illegal Armed Groups During the Conflict in the Donbas Region (East Ukraine)
Kostyuchenko, Yuriy V.; Yuschenko, Maxim - In: International Journal of Cyber Warfare and Terrorism (IJCWT) 7 (2017) 1, pp. 1-12
Paper aimed to consider of approaches to big data (social network content) utilization for understanding of social behavior in the conflict zones, and analysis of dynamics of illegal armed groups. Analysis directed to identify of underage militants. The probabilistic and stochastic methods of...
Persistent link: https://www.econbiz.de/10012043880
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What executives get wrong about statistics : moving from statistical significance to effect sizes and practical impact
Anderson, Brian S. - In: Business horizons 65 (2022) 3, pp. 379-388
Persistent link: https://www.econbiz.de/10013207711