Modeling Eects of Climatic Variables on Tea Production in Kenya Using Linear Regression Model with Serially Correlated Errors
Consolata A. Muganda, Sewe Stanley & Winnie Onsongo · Asian Journal of Probability and Statistics · 2021
Aims/ Objectives: To formulated a linear regression model to capture the relationship between tea production and climatic variables in terms of ARIMA. Place and Duration of Study: Department of Mathematics and Actuarial Science, Catholic University of Eastern Africa, Nairobi, Ken...
Open access
Research Article
10.9734/ajpas/2021/v13i230306