Search Results - subject:"Functions"

The use of selected internal corporate governance mechanisms based on best practices of companies listed on the Warsaw Stock Exchange

Olejko, Katarzyna - In: Journal of Eastern Europe research in business & … 2023 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014465600

A general model of ambiguous sets to a single-valued ambiguous numbers with aggregation operators

Singh, Pritpal - In: Decision analytics journal 8 (2023), pp. 1-15

comparison functions and operational laws for SVANs. This study also introduces three new aggregation operators, the ambiguous …

Persistent link: https://www.econbiz.de/10014516459

On the relation between extremal dependence and concomitants

Khorrami Chokami, Amir; Kratz, Marie - 2023

Persistent link: https://www.econbiz.de/10014327421

Innovation, firm size distribution, and gains from trade

Chen, Yi-Fan; Hsu, Wen-Tai; Peng, Shin Kun - In: Theoretical economics : TE ; an open access journal in … 18 (2023) 1, pp. 341-380

-tail phenomena, this paper shows that assuming asymptotic power functions for various model primitives (such as demand and firm …

Persistent link: https://www.econbiz.de/10014245426

Mean-variance investing with factor tilting

Boido, Claudio; Fasano, Antonio - In: Risk management : an international journal 25 (2023) 2, pp. 1-8

Persistent link: https://www.econbiz.de/10014251456

Calibrating for progress : what are the instrumental functions of theory in management research?

Krlev, Gorgi - In: Journal of management studies : JMS 60 (2023) 4, pp. 963-990

Persistent link: https://www.econbiz.de/10014307788

Geometric compromise programming : application in portfolio selection

Salas-Molina, Francisco; Pla-Santamaria, David; … - In: International transactions in operational research : a … 30 (2023) 5, pp. 2571-2594

Persistent link: https://www.econbiz.de/10014260119

The hard road to a soft landing : evidence from a (modestly) nonlinear structural model

Verbrugge, Randal; Zaman, Saeed - 2023

Persistent link: https://www.econbiz.de/10014295255

Error spotting with gradient boosting : a machine learning-based application for central bank data quality

Burger, Csaba; Berndt, Mihály - 2023

Supervised machine learning methods, in which no error labels are present, are increasingly popular methods for identifying potential data errors. Such algorithms rely on the tenet of a 'ground truth' in the data, which in other words assumes correctness in the majority of the cases. Points...

Persistent link: https://www.econbiz.de/10014283565

On the convergence of global-optimization fraudulent stochastic algorithms

Miclo, Laurent - 2023

Persistent link: https://www.econbiz.de/10014283736