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  • Search: subject:"Parameters estimation"
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Year of publication
Subject
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parameters estimation 2 Bankruptcy prediction 1 Bayes 1 Discriminatory power 1 Economic impact 1 Forecast 1 Forecasting model 1 Gielis curves 1 Insolvency 1 Insolvenz 1 Least squares 1 Neuro-structural approach 1 Parameters estimation 1 Prognose 1 Prognoseverfahren 1 Theorie 1 Theory 1 confidence intervals 1 global optimization 1 local optima 1 multi-modal 1 nonlinear curve-fitting 1 particle swarm 1 simulated annealing 1 statistical tests 1 superformula 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Charalambous, Christakis 1 Ciuiu, Daniel 1 Martzoukos, Spiros A. 1 Mishra, SK 1 Taoushianis, Zenon 1
Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2
Published in...
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MPRA Paper 2 Quantitative finance 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
Did you mean: subject:"parameter estimation" (165 results)
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A neuro-structural framework for bankruptcy prediction
Charalambous, Christakis; Martzoukos, Spiros A.; … - In: Quantitative finance 23 (2023) 10, pp. 1445-1464
Persistent link: https://www.econbiz.de/10014419170
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Bayes, Neyman and Neyman-Bayes Inference for Queueing Systems
Ciuiu, Daniel - Volkswirtschaftliche Fakultät, … - 2007
In this paper we will use the Bayesian inference for the parameters that appear in the queueing systems. We will estimate these parameters and we will build confidence intervals and significance tests for them, considering the parameters of the exponential Poisson and geometric distribution. We...
Persistent link: https://www.econbiz.de/10005105668
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Some Experiments on Fitting of Gielis Curves by Simulated Annealing and Particle Swarm Methods of Global Optimization
Mishra, SK - Volkswirtschaftliche Fakultät, … - 2006
In this paper an attempt has been made to fit the Gielis curves (modified by various functions) to simulated data. The estimation has been done by two methods - the Classical Simulated Annealing (CSA) and the Particle Swarm (PS) methods - of global optimization. The Repulsive Particle Swarm...
Persistent link: https://www.econbiz.de/10005621575
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