Arima and integrated Arfima models for forecasting annual demersal and pelagic marine fish production in Malaysia
The seas surrounding Malaysia provide a rich source of marine fisheries. The fisheries industry is an important economic earner and the total marine fish production has increased drastically from 242,900 metric tonnes in 1970 to around a million metric tonnes in the year 2000. Since fisheries resour...
Saved in:
Main Authors: | Shitan, Mahendran, Wee, Pauline Mah Jin, Lim, Ying Chin, Lim, Ying Siew |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute for Mathematical Research, Universiti Putra Malaysia
2008
|
Online Access: | http://psasir.upm.edu.my/id/eprint/12597/1/04._MAHENDRAN.pdf http://psasir.upm.edu.my/id/eprint/12597/ http://einspem.upm.edu.my/journal/volume2.2.php |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting fresh water and marine fish production in Malaysia using ARIMA and ARFIMA models / Pauline Mah Jin Wee … [et al.]
by: Mah, Pauline Jin Wee, et al.
Published: (2018) -
Forecasting the unemployment rate in Malaysia during COVID-19 pandemic using arima and arfima models / Nur Afiqah Ismail, Nurin Alya Ramzi and Pauline Jin Wee Mah
by: Ismail, Nur Afiqah, et al.
Published: (2022) -
A comparison of the forecast performance of double seasonal ARIMA and double seasonal ARFIMA models of electricity load demand
by: Hassan, Siti Normah, et al.
Published: (2012) -
Forecasting pelagic fish in Malaysia using ets state space approach
by: Bako, Hadiza Yakubu
Published: (2014) -
The comparison between ARIMA and ARFIMA model to forecast kijang emas (gold) prices in Malaysia using MAE, RMSE and MAPE / Atiqa Nur Azza Mahmad Azan, Nur Faizatul Auni Mohd Zulkifly Mototo and Pauline Jin Wee Mah
by: Mahmad Azan, Atiqa Nur Azza, et al.
Published: (2021)