Abstract

The study of meteorological variables is imperative due to their usefulness in our daily activities. Climate change which is now a global issue has received considerable large volume of research owing to the fact that its effects cut across all aspects of life. It is generally known that the effects of climatic change pose a great threat to agricultural activities in Africa continent and the world at large. Temperature and relative humidity are inversely related and this inverse relationship as investigated using real life data shows its devastating effect on the environment if neglected without urgent control measure. Hence, this study investigates the relationship between temperature and relative humidity using the beta kernel function with the asymptotic mean integrated squared error (AMISE) as the criterion function. The results of the study using real data reveals that temperature and relative humidity greatly determine climatic fluctuations which can adversely affect the environment.

Key Words: Bandwidth, Climate change, Density, Humidity, Kernel, Temperature