mikrokovuus
Mikrokovuus, also known as microcovariance, is a statistical method used to analyze the relationships between multiple variables. It is an extension of the traditional covariance analysis, which focuses on the relationship between two variables. Mikrokovuus, on the other hand, examines the simultaneous relationships among a set of variables, providing a more comprehensive understanding of the data.
The method involves calculating the covariance matrix, which is a square matrix that contains the covariances
One of the key advantages of mikrokovuus is its ability to handle high-dimensional data, making it suitable
However, mikrokovuus also has its limitations. It assumes that the variables are normally distributed and that