Comparative study on retail sales forecasting between single and combination methods
Year of publication: |
October 2017
|
---|---|
Authors: | Aras, Serkan ; Kocakoç, İpek Deveci ; Polat, Cigdem |
Published in: |
Journal of business economics and management. - Vilnius : VTGU Press Technika, ISSN 1611-1699, ZDB-ID 2208925-1. - Vol. 18.2017, 5, p. 803-832
|
Subject: | sales forecasting | neural networks | exponential smoothing | ARIMA | ARFIMA | ANFIS | combined forecasts | retail sales | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Absatz | Sales | Einzelhandel | Retail trade | Zeitreihenanalyse | Time series analysis | Theorie | Theory | ARMA-Modell | ARMA model |
-
Predicting housing sales in Turkey using ARIMA, LSTM and hybrid models
Soy Temür, Ayşe, (2019)
-
Zheng, Tianshu, (2012)
-
Hybrid ARFIMA wavelet artificial neural network model for DJIA index forecasting
Boubaker, Heni, (2020)
- More ...
-
Data size requirement for forecasting daily crude oil price with neural networks
Aras, Serkan, (2019)
-
Bulanik Mantik Tabanli Ekonometrik Modelleme:Para Talebi-Turkiye Ornegi
ARAS, Serkan, (2011)
-
A new consensus between the mean and median combination methods to improve forecasting accuracy
Aras, Serkan, (2017)
- More ...