Lately, I have published on various topics in probability, statistical inference, and linear models. Those research topics arose from teaching mostly graduate level, and some undergraduate level, courses. In this presentation, I will touch upon some of the limitations of invariant tests and Rao-Blackwell-Lehmann-Scheffe type theorems, as well some other interesting ideas with regard to Student’s t-distributions, correlations, independence, and multivariate normality stuff. While I may not be able to touch upon every single aspect, I will try to highlight some specific interesting problems with their resolutions while indicating how these things arose to begin with. These are teaching-related ideas leading to research and I find them very exciting. I normally discuss some of these ideas and examples-counterexamples in my teaching so that a classroom experience has a reasonable chance to become a living-breathing thing. I hope to share my excitement and positive experiences in this regard with my audience. I am reasonably sure that a major part of my presentation should be accessible to the students.
<a href='http://www.stat.uconn.edu/~nitis/' target='_BLANK'>University of Connecticut-Storrs</a>
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