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Professor C. R. Rao, the Founder President of the Indian Econometric Society is Awarded the International Prize in Statistics, 2023

Author

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  • T. Krishna Kumar

    (Indian Statistical Institute
    Rockville Analytics)

Abstract

As a Life Member of TIES and as a student of Dr. C. R. Rao the author pays a tribute to Dr. Rao on his being chosen for the International Statistics Prize for 2023. The importance of Rao’s contributions to errors in variables modeling, information geometry, improving the estimators through Rao-Blackwellization, fractional factorial orthogonal designs for randomized trials etc. are stressed.

Suggested Citation

  • T. Krishna Kumar, 2023. "Professor C. R. Rao, the Founder President of the Indian Econometric Society is Awarded the International Prize in Statistics, 2023," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 473-480, September.
    • Handle: RePEc:spr:jqecon:v:21:y:2023:i:3:d:10.1007_s40953-023-00363-w
    DOI: 10.1007/s40953-023-00363-w
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    References listed on IDEAS

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    1. Judge,George G. & Mittelhammer,Ron C., 2012. "An Information Theoretic Approach to Econometrics," Cambridge Books, Cambridge University Press, number 9780521689731.
    2. Judge,George G. & Mittelhammer,Ron C., 2012. "An Information Theoretic Approach to Econometrics," Cambridge Books, Cambridge University Press, number 9780521869591.
    3. Hawkins, Raymond J. & Aoki, Masanao & Roy Frieden, B., 2010. "Asymmetric information and macroeconomic dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3565-3571.
    4. B. L. S. Prakasa Rao & T. Krishna Kumar, 2021. "On Some Characterizations of Probability Distributions with Applications in Econometrics: A Centennial Tribute to CR Rao," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 181-205, June.
    5. Kumar, T Krishna & Gapinski, James H, 1974. "Nonlinear Estimation of the CES Production Parameters: A Monte Carlo Study," The Review of Economics and Statistics, MIT Press, vol. 56(4), pages 563-567, November.
    6. James J. Heckman & Rodrigo Pinto, 2022. "Causal Inference of Social Experiments Using Orthogonal Designs," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 7-30, September.
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