Statistical Science

A Conversation with Shoutir Kishore Chatterjee

Tathagata Banerjee and Rahul Mukerjee

Full-text: Open access

Abstract

Shoutir Kishore Chatterjee was born in Ranchi, a small hill station in India, on November 6, 1934. He received his B.Sc. in statistics from the Presidency College, Calcutta, in 1954, and M.Sc. and Ph.D. degrees in statistics from the University of Calcutta in 1956 and 1962, respectively. He was appointed a lecturer in the Department of Statistics, University of Calcutta, in 1960 and was a member of its faculty until his retirement as a professor in 1997. Indeed, from the 1970s he steered the teaching and research activities of the department for the next three decades. Professor Chatterjee was the National Lecturer in Statistics (1985–1986) of the University Grants Commission, India, the President of the Section of Statistics of the Indian Science Congress (1989) and an Emeritus Scientist (1997–2000) of the Council of Scientific and Industrial Research, India.

Professor Chatterjee, affectionately known as SKC to his students and admirers, is a truly exceptional person who embodies the spirit of eternal India. He firmly believes that “fulfillment in man’s life does not come from amassing a lot of money, after the threshold of what is required for achieving a decent living is crossed. It does not come even from peer recognition for intellectual achievements. Of course, one has to work and toil a lot before one realizes these facts.”

Article information

Source
Statist. Sci. Volume 22, Number 2 (2007), 279-290.

Dates
First available in Project Euclid: 27 September 2007

Permanent link to this document
https://projecteuclid.org/euclid.ss/1190905529

Digital Object Identifier
doi:10.1214/088342306000000565

Mathematical Reviews number (MathSciNet)
MR2408968

Zentralblatt MATH identifier
1246.01017

Citation

Banerjee, Tathagata; Mukerjee, Rahul. A Conversation with Shoutir Kishore Chatterjee. Statist. Sci. 22 (2007), no. 2, 279--290. doi:10.1214/088342306000000565. https://projecteuclid.org/euclid.ss/1190905529.


Export citation

References

  • Chatterjee, S. K. (1959). On an extension of Stein's two-sample procedure to the multinormal problem. Calcutta Statist. Assoc. Bull. 8 121--148.
  • Chatterjee, S. K. (1960). Sequential tests for the bivariate regression parameters with known power and related estimation procedures. Calcutta Statist. Assoc. Bull. 10 19--34.
  • Chatterjee, S. K. (1962). Sequential inference procedures of Stein's type for a class of multivariate regression problems. Ann. Math. Statist. 33 1039--1064.
  • Chatterjee, S. K. (1966). A bivariate sign test for location. Ann. Math. Statist. 37 1771--1782.
  • Chatterjee, S. K. (1972). Rank approach to the multivariate two-population mixture problem. J. Multivariate Anal. 2 261--281.
  • Chatterjee, S. K. (1973). Rank procedures for some two-population multivariate extended classification problems. J. Multivariate Anal. 3 26--56.
  • Chatterjee, S. K. (1982). Some recent developments in the theory of asymmetric factorial experiments---a review. Sankhyā Ser. A 44 103--113.
  • Chatterjee, S. K. (1984). Restricted alternatives. In Nonparametric Methods (P. R. Krishnaiah and P. K. Sen, eds.) 327--345. North-Holland, Amsterdam.
  • Chatterjee, S. K. (1989). Some thoughts on the foundations of statistical inference. Calcutta Statist. Assoc. Bull. 38 1--26. (Presidential address delivered in the section of statistics at the 76th session of the Indian Science Congress.)
  • Chatterjee, S. K. (2003). Statistical Thought: A Perspective and History. Oxford Univ. Press.
  • Chatterjee, S. K. and Bandyopadhyay, U. (1992). On the change-point problem. Sequential Anal. 11 101--118.
  • Chatterjee, S. K. and Banerjee, T. (1990). Combination of multiple scores for nonparametric testing in multivariate linear regression setup. Comm. Statist. Theory Methods 19 2967--2998.
  • Chatterjee, S. K. and Chattopadhyay, G. (1992). Detailed statistical inference---an alternative non-Bayesian approach: Two-decision problem. Calcutta Statist. Assoc. Bull. 42 41--74.
  • Chatterjee, S. K. and Chattopadhyay, G. (1993). Detailed statistical inference: Multiple decision problem. Calcutta Statist. Assoc. Bull. 43 155--180.
  • Chatterjee, S. K. and Das, K. (1983). Estimation of variance components in an unbalanced one-way classification. J. Statist. Plann. Inference 8 27--41.
  • Chatterjee, S. K. and De, N. K. (1974). On the power superiority of certain bivariate location tests against restricted alternatives. Calcutta Statist. Assoc. Bull. 23 73--84.
  • Chatterjee, S. K. and Mandal, N. K. (1981). Response surface designs for estimating the optimal point. Calcutta Statist. Assoc. Bull. 30 145--169.
  • Chatterjee, S. K. and Patra, N. K. (1980). Asymptotically minimal multivariate tolerance sets. Calcutta Statist. Assoc. Bull. 29 73--93.
  • Chatterjee, S. K. and Samanta, S. K. (1992). An alternative approach to variable selection for discrimination. Sankhyā Ser. B 54 77--91.
  • Chatterjee, S. K. and Sen, P. K. (1964). Nonparametric tests for the bivariate two-sample location problem. Calcutta Statist. Assoc. Bull. 13 18--58.
  • Chatterjee, S. K. and Sen, P. K. (1965). Some nonparametric tests for the bivariate two-sample association problem. Calcutta Statist. Assoc. Bull. 14 14--35.
  • Chatterjee, S. K. and Sen, P. K. (1970). Nonparametric tests for the multisample multivariate location problem. In Essays in Probability and Statistics (R. C. Bose, I. M. Chakravarti, P. C. Mahalanobis, C. R. Rao and K. J. C. Smith, eds.) 197--228. Univ. North Carolina Press, Chapel Hill.
  • Chatterjee, S. K. and Sen, P. K. (1973). Non-parametric testing under progressive censoring. Calcutta Statist. Assoc. Bull. 22 13--50.
  • Chatterjee, S. K. and Sen, P. K. (1973). On Kolmogorov--Smirnov-type tests for symmetry. Ann. Inst. Statist. Math. 25 287--299.
  • Chinchilli, V. M. and Sen, P. K. (1981). Multivariate linear rank statistics and the union-intersection principle for the orthant restriction problem. Sankhyā Ser. B 43 152--171.
  • Durbin, J. (1970). On Birnbaum's theorem on the relation between sufficiency, conditionality and likelihood. J. Amer. Statist. Assoc. 65 395--398.
  • Kiefer, J. (1977). Conditional confidence statements and confidence estimators (with discussion). J. Amer. Statist. Assoc. 72 789--827.
  • Puri, M. L. and Sen, P. K. (1971). Nonparametric Methods in Multivariate Analysis. Wiley, New York.