EFFECTS OF THE COVID-19 PANDEMIC ON TURKISH NATURAL STONE INDUSTRY: A GREY FORECASTING MODEL
Öz
Anahtar Kelimeler
Kaynakça
- Adgüzel, M., Şengüler, M., 2019. Investigation of Turkish Marble Sector and its Competitive Power. Third Sector Social Economic Review, 54 (3), 1530-1546.
- Akay, D., Atak, M., 2007. Grey prediction with rolling mechanism for electricity demand forecasting of Turkey. Energy, 32 (9), 1670-1675.
- Aydemir, E., Bedir, F., Ozdemir, G., 2013. The Grey System Approaches for Demand Forecasting. Journal of Trends in Development of Machinery and Associated Technology, 17 (1), 105-108.
- Başol, K., Durman, M., Çelik, M.Y., 2005. Leading of Development Process; Natural Process. Journal of Social Sciences and Humanities Researches, 14, 61-71.
- Carmona-Benítez, R.B., Nieto, M.R., 2020. SARIMA damp trend grey forecasting model for airline industry. Journal of Air Transport Management, 82, 101736.
- Chatfield, C., 1988. Apples, oranges and mean squared error. International Journal of Forecasting, 4, 515–518.
- Deng, J., 1989. Introduction to grey system theory. Journal of Grey System, 1, 1-24.
- Ding, S., Hipel, K.W., Dang, Y.G., 2018. Forecasting China's electricity consumption using a new grey prediction model. Energy, 149, 314-328.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Yer Bilimleri ve Jeoloji Mühendisliği (Diğer)
Bölüm
Araştırma Makalesi
Yazarlar
Gökhan Ekincioğlu
0000-0001-9377-6817
Türkiye
Deniz Akbay
*
0000-0002-7794-5278
Türkiye
Erdal Aydemir
0000-0003-4834-725X
Türkiye
Yayımlanma Tarihi
30 Haziran 2022
Gönderilme Tarihi
1 Eylül 2021
Kabul Tarihi
20 Aralık 2021
Yayımlandığı Sayı
Yıl 2022 Cilt: 10 Sayı: 2