Skip to main content

C. R. Rao


Calyampudi Radhakrishna Rao, FRS known as C R Rao (born 10 September 1920)
           


Calyampudi Radhakrishna Rao, FRS known as C R Rao (born 10 September 1920) is an Indian American mathematician and statistician. He is currently professor emeritus at Penn State University and Research Professor at the University at Buffalo. Rao has been honored by numerous colloquia, honorary degrees, and festschrifts and was awarded the US National Medal of Science in 2002.[2] The American Statistical Association has described him as "a living legend whose work has influenced not just statistics, but has had far reaching implications for fields as varied as economics, genetics, anthropology, geology, national planning, demography, biometry, and medicine."[2] The Times of India listed Rao as one of the top 10 Indian scientists of all time.[3]
 Born
10 September 1920 (age 92)
Hadagali, Kingdom of Mysore,
British India
Residence
India, United Kingdom, United States
Citizenship
United States[1]
Fields
Mathematics and statistics
Institutions
Indian Statistical Institute
Cambridge University
Penn State University
University at Buffalo, The State University of New York
Alma mater
Andhra University
University of Calcutta
King's College, Cambridge
Thesis
Statistical Problems of Biological Classifications (1948)
Doctoral advisor
Ronald Fisher
Doctoral students
K. R. Parthasarathy
Veeravalli S. Varadarajan
S. R. Srinivasa Varadhan
Known for
Cramér–Rao bound
Rao–Blackwell theorem
Orthogonal arrays
Score test
Notable awards
Padma Vibhushan
National Medal of Science
S. S. Bhatnagar Prize
Guy Medal (Silver 1965, Gold 2011)


Location: Tamil Nadu, India

Comments

Post a Comment

Popular posts from this blog

Frequency Polygons

Learning Objectives Create and interpret frequency polygons Create and interpret cumulative frequency polygons Create and interpret overlaid frequency polygons Frequency polygons are a graphical device for understanding the shapes of distributions. They serve the same purpose as histograms, but are especially helpful for comparing sets of data. Frequency polygons are also a good choice for displaying cumulative frequency distributions . To create a frequency polygon, start just as for histograms , by choosing a class interval. Then draw an X-axis representing the values of the scores in your data. Mark the middle of each class interval with a tick mark, and label it with the middle value represented by the class. Draw the Y-axis to indicate the frequency of each class. Place a point in the ...
Post a Comment
Read more

Lognormal distribution

Lognormal Distribution Probability Density Function A variable X is lognormally distributed if Y = LN(X) is normally distributed with "LN" denoting the natural logarithm. The general formula for the  probability density function  of the lognormal distribution is where   is the  shape parameter ,   is the  location parameter  and  m is the  scale parameter . The case where   = 0 and  m  = 1 is called the  standard lognormal distribution . The case where   equals zero is called the 2-parameter lognormal distribution. The equation for the standard lognormal distribution is Since the general form of probability functions can be  expressed in terms of the standard distribution , all subsequent formulas in this section are given for the standard form of the function. The following is the plot of the lognormal probability density function for four values of  . There are several commo...
Post a Comment
Read more

Basics of Sampling Techniques

Population                A   population   is a group of individuals(or)aggregate of objects under study.It is also known as universe. The population is divided by (i)finite population  (ii)infinite population, (iii) hypothetical population,  subject to a statistical study . A population includes each element from the set of observations that can be made. (i) Finite population : A population is called finite if it is possible to count its individuals. It may also be called a countable population. The number of vehicles crossing a bridge every day, (ii) Infinite population : Sometimes it is not possible to count the units contained in the population. Such a population is called infinite or uncountable. ex, The number of germs in the body of a patient of malaria is perhaps something which is uncountable   (iii) Hypothetical population : Statistica...
Post a Comment
Read more