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C. R. Rao. Calyampudi Radhakrishna Rao FRS (10 September 1920 – 22 August 2023) was an Indian-American mathematician and statistician. [4] He was professor emeritus at Pennsylvania State University and research professor at the University at Buffalo. Rao was honoured by numerous colloquia, honorary degrees, and festschrifts and was awarded ...
Prof CR Rao was a pioneer and a legend in the field of statistics, who made groundbreaking contributions to various areas such as multivariate analysis, sample survey theory and biometry. He was also a mentor and a teacher to many eminent scholars and researchers, who have followed in his footsteps and enriched the discipline of statistics.
Dec 1, 2023 · Professor C. R. Rao, the celebrated statistician whose work shaped the landscape of modern statistics, passed away on 22 August in Buffalo, New York, at the age of 102. A true giant in the field of statistics, Rao's monumental contributions have left an indelible mark on both academic and practical spheres.
Apr 12, 2023 · Calyampudi Radhakrishna Rao, better known as C.R. Rao, who will receive the 2023 International Prize in Statistics, is an Indian-American mathematician. Because of his significant contributions to the field of statistics he will receive the prize considered equivalent to the Nobel Prize in the field.
Nov 16, 2023 · Rao invented information geometry and other fundamental tools in statistics, and he contributed to geology, biometry, demography, econometrics, genetics, anthropology, medicine, and national planning through foundational statistical theorems, scientific collaborations, and decades of advocacy of statistical practices.
Oct 10, 2023 · Calyampudi Radhakrishna Rao pioneered powerful statistical methods that underpin modern scientific data analyses. His ‘information geometry’ and other data-reduction techniques enable ...
CR Rao published in 1996 an inequality for the expectation of harmonic means of positive random variables which is less or equal than the harmonic mean of the expectations of the RVs. This kind of inequality holds for any homogeneous mean m (x,y) such that m (1,x) is concave.
