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Developing a model for process improvement using multiple regression technique : a case example
Sarkar, Ashok; Mukhopadhyay, Arup Ranjan; Ghosh, Sadhan … - In: The TQM journal : the international review of … 26 (2014) 6, pp. 625-638
Persistent link: https://www.econbiz.de/10010426582
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Iterative optimization algorithm with parameter estimation for the ambulance location problem
Kim, Sun Hoon; Yi, Yŏng-hun - In: Health care management science 19 (2016) 4, pp. 362-382
Persistent link: https://www.econbiz.de/10011607728
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Identification of multivariate AR-models by threshold accepting
Winker, Peter - 1994
optimization of the lag structure over the whole set of possible multivariate lag structures with regard to a given information … criterion, e.g. the Hannan-Quinn estimator or Akaike's final prediction error criterion. The optimization is performed by the … heuristic multiple purpose optimization algorithm Threshold Accepting which proved to be very successful for discrete …
Persistent link: https://www.econbiz.de/10010397888
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A regression-constrained optimization approach to estimating suppressed information using time-series data : application to county business patterns 1999 - 2006
Zhang, Sumei; Guldmann, Jean-Michel - In: International regional science review 38 (2015) 2, pp. 119-150
Persistent link: https://www.econbiz.de/10011300840
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An emotional learning-neuro-fuzzy inference approach for optimum training and forecasting of gas consumption estimation models with cognitive data
Azadeh, Mohammad Ali; Asadzadeh, Seyed Mohammad; … - In: Technological forecasting & social change : an … 91 (2015), pp. 47-63
Persistent link: https://www.econbiz.de/10011317278
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Identification of multivariate AR-models by threshold accepting
Winker, Peter - 1994
optimization of the lag structure over the whole set of possible multivariate lag structures with regard to a given information … criterion, e.g. the Hannan-Quinn estimator or Akaike's final prediction error criterion. The optimization is performed by the … heuristic multiple purpose optimization algorithm Threshold Accepting which proved to be very successful for discrete …
Persistent link: https://www.econbiz.de/10009774703
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Variables selection in observational and experimental studies
Kunert, Joachim; Weihs, Claus - 2000
This paper discusses whether differences in the data structure of observational and experimental studies should lead to different strategies for variable selection. On the one hand, it is argued that outliers in the predictor variables have to be treated differently in the two kinds of studies....
Persistent link: https://www.econbiz.de/10009783554
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How do invariant transformations affect the calibration and optimization of the Kalman filtering algorithm used in the estimation of continuous-time affine term structure models?
Juneja, Januj Amar - In: Computational management science 18 (2021) 1, pp. 73-97
Persistent link: https://www.econbiz.de/10012487048
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Algorithms for generalized clusterwise linear regression
Park, Young Woong; Jiang, Yan; Klabjan, Diego; … - In: INFORMS journal on computing : JOC 29 (2017) 2, pp. 301-317
Persistent link: https://www.econbiz.de/10011691196
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Robust maximum likelihood estimation
Bertsimas, Dimitris; Nohadani, Omid - In: INFORMS journal on computing : JOC 31 (2019) 3, pp. 445-458
Persistent link: https://www.econbiz.de/10012061784