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Effects of forecast errors on optimal utilisation in aggregate production planning with stochastic customer demand
Altendorfer, Klaus; Felberbauer, Thomas; Jodlbauer, Herbert - In: International journal of production research 54 (2016) 11/12, pp. 3718-3735
Persistent link: https://www.econbiz.de/10011497701
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Forecasting dirty tanker freight rate index by using stochastic differential equations
Jafari, Hossein; Rahimi, Ghazaleh - In: International journal of financial engineering 5 (2018) 4, pp. 1-15
Persistent link: https://www.econbiz.de/10012028815
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Differences in European mortality rates : a geometric approach on the age-period plane
Christiansen, Marcus C.; Spodarev, Evgenij; Unseld, Verena - In: Astin bulletin : the journal of the International … 45 (2015) 3, pp. 477-502
Persistent link: https://www.econbiz.de/10011397239
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The stochastic volatility in mean model
Koopman, Siem Jan; Hol Uspensky, Eugenie - 2000
(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable …
Persistent link: https://www.econbiz.de/10011303314
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Scientific stochastic volatility models for the European carbon markets : forecasting and extracting conditional moments
Solibakke, Per Bjarte - In: International journal of business 19 (2014) 1, pp. 63-98
Persistent link: https://www.econbiz.de/10010344777
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A method for the updating of stochastic kriging metamodels
Kaminski, Bogumil - In: European journal of operational research : EJOR 247 (2015) 3, pp. 859-866
Persistent link: https://www.econbiz.de/10011386335
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Stochastische Unternehmensmodelle als Kern innovativer Ratingsysteme
Blum, Ulrich; Gleißner, Werner; Leibbrand, Frank - 2005
and a stochastic simulation model of enterprise development. The results show that the method used is superior to …
Persistent link: https://www.econbiz.de/10003243385
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Stochastische Unternehmensmodelle als Kern innovativer Ratingsysteme
Blum, Ulrich; Gleißner, Werner; Leibbrand, Frank - 2005
Persistent link: https://www.econbiz.de/10003243404
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Bayesian Forecasting for Automobile Parts using Stochastic Simulation
Muñoz, David - 2010
This article presents the development and application of a simulation model that was used to forecast the demand of …, how stochastic simulation and Bayesian statistics can be combined to model and solve complex forecasting problems. The …
Persistent link: https://www.econbiz.de/10013148043
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Forecasting stochastic volatility characteristics for the financial fossil oil market densities
Solibakke, Per Bjarte - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-17
This paper builds and implements multifactor stochastic volatility models for the international oil/energy markets (Brent oil and WTI oil) for the period 2011-2021. The main objective is to make step ahead volatility predictions for the front month contracts followed by an implication discussion...
Persistent link: https://www.econbiz.de/10012794710