Time Series Analysis of Quarterly Rainfall in South-western Nigeria

Rainfall variability, seasonality and extremity have a lot of consequences in planning and decision making of every spheres of human endeavour especially in Nigeria where majority of agricultural practices and planning is dependent on rainfed agriculture. This project considered the trend and seasonality of rainfall in South-Western Nigeria. We employed the non-seasonal and seaonal unit root tests of Dickey and Fuller (1979) and Helleberg, Engle, Granger and Yoo (1990) respectively. Both tests confirmed the seasonality of rainfall in the six states of the geo-political zone. As a result, Seasonal ARMA (SARMA) models were therefore proposed in predicting rainfall pattern in the states.

About the author

Dr. O.S. Yaya is a young researcher in Time Series Analysis. He has attended many local and international conferences in Applied Statistics particularly in areas of Econometric Time Series modeling. Dr. O. I. Shittu is an Associate Professor in Time Series and Stochastic Processes. He has many international publications to his credit.

Product details

• Authors: Ol Durojaye, Olalekan M. Durojaye, Olanrewaju Shittu, Olanrewaju I Shittu, Olanrewaju I. Shittu, Olaoluwa Yaya, Olaoluwa S Yaya, Olaoluwa S. Yaya
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 20.05.2014
• EAN: 9783659534393
• ISBN: 978-3-659-53439-3
• No. of pages: 92
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics