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Forecasting intraday call arrivals using the seasonal moving average method

Barrow, Devon K. - In: Journal of business research : JBR 69 (2016) 12, pp. 6088-6096

Persistent link: https://www.econbiz.de/10011597715

Quarterly forecasting model for India's economic growth : Bayesian vector autoregression approach

Iyer, Tara; Gupta, Abhijit Sen - 2019

This study develops a framework to forecast India's gross domestic product growth on a quarterly frequency from 2004 to 2018. The models, which are based on real and monetary sector descriptions of the Indian economy, are estimated using Bayesian vector autoregression (BVAR) techniques. The real...

Persistent link: https://www.econbiz.de/10011984158

Combining robust dynamic neural networks with traditional technical indicators for generating mechanic trading signals

Giribone, Pier Giuseppe; Ligato, Simone; Penone, Francesco - In: International journal of financial engineering 5 (2018) 4, pp. 1-44

Persistent link: https://www.econbiz.de/10012028821

Forecasting container throughput based on wavelet transforms within a decomposition-ensemble methodology : a case study of China

Xie, Gang; Qian, Yatong; Yang, Hewei - In: Maritime policy & management 46 (2019) 2, pp. 178-200

Persistent link: https://www.econbiz.de/10012209470

Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology

Xie, Gang; Zhang, Ning; Wang, Shouyang - In: Transportation research / E : an international journal 108 (2017), pp. 160-178

Persistent link: https://www.econbiz.de/10011782030

Models for optimising the theta method and their relationship to state space models

Fiorucci, Jose A.; Pellegrini, Tiago R.; Louzada, Francisco - In: International journal of forecasting 32 (2016) 4, pp. 1151-1161

Persistent link: https://www.econbiz.de/10011622119

Forecasting using sparse cointegration

Wilms, Ines; Croux, Christophe - In: International journal of forecasting 32 (2016) 4, pp. 1256-1267

Persistent link: https://www.econbiz.de/10011622146

Nowcasting unemployment insurance claims in the time of COVID-19

Larson, William; Sinclair, Tara M. - 2020

Persistent link: https://www.econbiz.de/10012533227

Agribusiness time series forecasting using Wavelet neural networks and metaheuristic optimization : an analysis of the soybean sack price and perishable products demand

Puchalsky, Weslly; Ribeiro, Gabriel Trierweiler; Veiga, … - In: International journal of production economics 203 (2018), pp. 174-189

Persistent link: https://www.econbiz.de/10011900364

Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach

Xu, Shuojiang; Chan, Hing Kai; Zhang, Tiantian - In: Transportation research / E : an international journal 122 (2019), pp. 169-180

Persistent link: https://www.econbiz.de/10011995052