Forecasting natural rubber production in Malaysia: box-jenkins vs artificial neural network method / Liyana Husna Shamsudin and Nur Fadhliana Ithnin
The present study aims as applying different methods for forecasting the production of natural rubber in Malaysia. Two different methods, Box-Jenkins and Artificial Neural Network, were used to forecast the production of rubber. The monthly data from 1984 until 2017 were the data used to analyse and...
Saved in:
Main Authors: | Shamsudin, Liyana Husna, Ithnin, Nur Fadhliana |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/32569/1/32569.pdf http://ir.uitm.edu.my/id/eprint/32569/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Crude Palm Oil Price Forecasting: Box-Jenkins Approach
by: Mohd Arshad, Fatimah, et al.
Published: (1986) -
Malaysia tourism demand forecasting using box-jenkins approach
by: Amir Hamzah, Diyana Izyan, et al.
Published: (2018) -
Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
by: Mahpol, Khairil Asmani
Published: (2005) -
Tourism forecasting in Pahang: an application of homestay by using box-jenkins approach
by: Noratikah, Abu, et al.
Published: (2018) -
A hybrid Box-Jenkins and decomposition model for drought forecasting in Kuala Terengganu
by: Ho, Mee Chyong
Published: (2013)