Evaluation of Annually Report of Chamber of Shipping of Turkey With Respect to Forecasting Techniques
Abstract
Keywords
References
- Benkachcha.S, Benhra.J, El Hassani.H. (2013). Causal Method and Time Series Forecasting based on Artificial Neural Network. International Journal of Computer Applications.75: 3743
- Bhar L. M., Sharma V. K. Time Series Analysis. Indian Agriculture Statistic Institute, New Delhi
- DNV Shipping Report 2020, http://www.dnv.nl/binaries/shipping%202020%20%20final%20report_tcm141530559.pdf (15.03.2015)
- Duru, O. (2008) Forecastıng in Shıppıng Freıght Market, Catalyst Countrıes and Future Scenarios. Journal of Marine and Commerce. Kobe University, Japan Kress, G.J and Snyder J., (1994) Forecasting and Marketing Analysis Techniques. London: Quorum books
- Makridakis, G. (1998). Forecasting, Planning and Strategy for 21st century. New York: The Free Press New York
- Malhotra, N.K. (2004) Marketing Research Third Edition. New Jersey: Pearson Educational International
- Polat, C. (2007) the Role of Forecasting and Its Potential for Functional Management: A Review from the Value Chain Perspective 9. The journal of Social Science. Dokuz Eylül Universty
- Stopford, M. (2009), Maritime Economics, Third Edition. London: Taylor and Francis Group
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Sadık Özlen Başer
*
DOKUZ EYLUL UNIVERSITY, FACULTY OF MARITIME
0000-0001-6632-2617
Türkiye
Hilal Adaşlık
This is me
0000-0002-2736-765X
Türkiye
Publication Date
October 31, 2018
Submission Date
January 8, 2018
Acceptance Date
September 11, 2018
Published in Issue
Year 2018 Volume: 3 Number: 2