The interactions between temperature and relative humidity are the main focus of this article.
These two meteorological observations are of great significance due to their direct effects on …

Multivariate analysis of data is of wide applicability in data science especially in big data
analytic due to the volume of concealed information to be analyzed. Accurate analysis of …

The probability density estimation concept in statistics has far-reaching effects in other fields
of studies because most actions can be expressed in numerical form, which must be …

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 …

Data exploratory analysis and data visualisations are the main functions of kernel density
estimation. The kernel density estimation techniques depend fundamentally on the …

This paper examines the global consistency property of multivariate kernel of the beta
polynomial family with regards to its achievement of better estimate. The multivariate product …