Abstract
This is the birth centenary year of the living legend and giant in the world of statistics, Prof. Calyampudi Radhakrishna (C R) Rao. This article is a partial reflection of Dr. Rao’s contributions to statistical theory and methodology, including unbiased estimation, variance reduction by sufficiency, efficiency of estimation, information geometry, as well as the application of matrix theory in linear statistical inference. His contributions are so massive, it will be impossible to review all of them. This article will comprise mostly his major discovery, which is Cramer–Rao lower bound and related applications and extensions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
