Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique
In Malaysia, the quarterly economic growth is announced two months after the end of every quarter. Market players, who need to know the future behaviour of economic growth before making important business decisions, would therefore need to forecast the growth rather than waiting for the announcement...
Saved in:
Main Author: | Khoh, Irene Foong Lean |
---|---|
Format: | Thesis |
Language: | eng eng |
Published: |
2008
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/424/1/Irene_Khoh_Foong_Lean.pdf https://etd.uum.edu.my/424/2/Irene_Khoh_Foong_Lean.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting Accuracy of Income a Year Using Rough Set Theory
by: Zuraihah, Ngadengon
Published: (2009) -
An enhanced Bayesian Network prediction model for football matches based on player performance
by: Razali, Muhammad Nazim
Published: (2017) -
Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital
by: Shafi, Muhammad Ammar
Published: (2015) -
Study of Muslims in marital system using markov chain simple exponential smoothing (MCses) technique
by: Fadhilah, Jamaluddin
Published: (2016) -
A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
by: Mohd Zabid, M. Faeid
Published: (2018)