Dimension reduction plays a crucial role in machine learning to serve data exploration and visualization 1,2. By transforming data into an embedding space, it reveals the intrinsic structures and ...

The estimation of the population variance of a study variable is an important task in survey sampling which has diverse applications in sectors like health sciences, finance, agriculture and ...