Market model analysis and forecasting behavior of watermelon production in Bangladesh

Authors

  • Murshida Khanam Department of Statistics, Biostatistics & Informatics, University of Dhaka, Dhaka-1000
  • Umme Hafsa Department of Statistics, Biostatistics & Informatics, University of Dhaka, Dhaka-1000

DOI:

https://doi.org/10.3329/bjsr.v26i1-2.20230

Keywords:

ARIMA, MARMA, supply model, log linear model

Abstract

An attempt has been made to study various models regarding watermelon production in Bangladesh and to identify the best model that may be used for forecasting purposes. Here, supply, log linear, ARIMA, MARMA models have been used to do a statistical analysis and forecasting behavior of production of watermelon in Bangladesh by using time series data covering whole Bangladesh. It has been found that, between the supply and log linear models; log linear is the best model. Comparing ARIMA and MARMA models it has been concluded that ARIMA model is the best for forecasting purposes.

DOI: http://dx.doi.org/10.3329/bjsr.v26i1-2.20230

Bangladesh J. Sci. Res. 26(1-2): 47-56, December-2013

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Published

2014-08-27

How to Cite

Khanam, M., & Hafsa, U. (2014). Market model analysis and forecasting behavior of watermelon production in Bangladesh. Bangladesh Journal of Scientific Research, 26(1-2), 47–56. https://doi.org/10.3329/bjsr.v26i1-2.20230

Issue

Vol. 26 No. 1-2 (2013)

Section

Articles