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: | https://ir.uitm.edu.my/id/eprint/32569/1/32569.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Perception, knowledge and awareness towards the attitude on organ donation among staffs of UiTM Cawangan Kelantan / Annur Liyana Mohd Kemari, Nur Ain Hidayah Zainuddin and Nurul Farhana Mohd Asri
by: Mohd Kemari, Annur Liyana, et al.
Published: (2019) -
Readiness Factors For AMT Implementation In Manufacturing SMEs
by: Ithnin, Hafini Suhana
Published: (2018) -
Customer service and maintenance system
by: Shamsudin, Adam
Published: (2006) -
Forecasting paddy production at Muda Agricultural Development Authority (MADA) / Norziela Binti Rosli
by: Rosli, Norziela
Published: (2011) -
Packet-level intrusion detection
by: Mohammed Altilib, Rami Hussen
Published: (2009)