Meta inference of heterogeneous data streams

This work aims to explore the meta inference of mean, where data are being collected from different studies. Providing an accurate estimate of the mean from separate studies is a central aspect of the practical sciences. The meta inference of means and its statistical inference is so prevalent that it has received much attention. The problem is well recognized as pertinent to carrying out the meta inference of mean, and its statistical inference has got a lot of attention. This paper intends to explore the existing techniques for dealing with this issue, propose and study alternative methods to improve the estimation of a common mean, and review the theoretical inference. This paper uses numerical investigations that continue to provide good results to evaluate the proposed methods.