Modelling and forecasting small Haplochromine species (Kambuzi) production in Malaŵi – a stochastic model approach

Abstract: 
The study aimed at forecasting small Haplochromine species locally known as Kambuzi yield in Malaŵi, based on data on Lake Malombe fish catches during the years from 1976 to 2011. The study considered Autoregressive (AR), Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) processes to select the appropriate stochastic model for forecasting small Haplochromine species yield in Lake Malombe. Based on ARIMA (p, d, q) and its components Autocorrelation function (ACF), Partial autocorrelation (PACF), Normalized Bayesian Information Criterion (NBIC), Box – Ljung Q statistics and residuals estimated, ARIMA (0, 1, 1) was selected. Based on the chosen model, it could be predicted that the small Haplochromine species yield would increase to 4,224 tons in 2021 from 93 tons in 1976.
Language: 
Date of publication: 
2012
Country: 
Region Focus: 
Southern Africa
Volume: 
1
Number: 
9
Collection: 
RUFORUM Journal Articles
Agris Subject Categories: 
Licence conditions: 
Open Access
Access restriction: 
Form: 
Printed resource
ISSN: 
2277-8616
E_ISSN: 
Edition: 
Extent: 
69-73