A Conversation with Shoutir Kishore Chatterjee
TL;DR: Shoutir Kishore Chatterjee (SKC) as discussed by the authors was the National Lecturer in Statistics (1985-1986), 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.
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.”
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TL;DR: The 76th Indian Science Congress as discussed by the authors elected me as the Section of Statistics (SOS) president, which carries with it an onerous responsibility and illustrious predecessors have set very high standards for it.
Abstract: I am fully conscious of the honour that you have bestowed upon me by electing me President of the Section of Statistics for this 76-th session of Indian Science Congress. I know that this office carries with it an onerous responsibility and illustrious predecessors have set very high standards for it. I would strive my best to measure up to your trust and to make this session a success. I would need the good wishes and cooperation of all of you in this effort.
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Book•
01 Jan 1971
750 citations
"A Conversation with Shoutir Kishore..." refers background in this paper
...Puri and their first book [28] on the topic came out shortly....
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TL;DR: In this article, the conclusiveness of a decision is assessed in terms of a conditional confidence coefficient Γ that has frequentist interpretability analogous to that of a traditional confidence coefficient.
Abstract: Procedures are given for assessing the conclusiveness of a decision in terms of a (chance) conditional confidence coefficient Γ that has frequentist interpretability analogous to that of a traditional confidence coefficient. Properties of such procedures are compared in terms of the distribution of Γ. This leads to recommendations on the choice of conditioning. Also, a methodology for estimating the confidence when it depends on unknown parameter values is given. The notions of confidence are not limited to interval estimation; examples are also given in hypothesis testing and selection problems and in nonparametric and sequential settings.
149 citations
"A Conversation with Shoutir Kishore..." refers background in this paper
...I was not very hopeful about Kiefer’s [27] conditionalization, nor was I too comfortable with the Bayesian approach....
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TL;DR: In this article, a general class of rank order tests for progressive censoring is proposed along with a basic martinga:le property and a Brownian motion approximation for a related rank order process, asymptotic distribution theory of the proposed statistics is developed.
Abstract: SummaryProgressive censoring schemes (allowing a continuous monitoring of experimentation until a terminal decision is reached) are often adopted in clinical trials and life testing problems. In this paper, a general class of rank order tests for progressive censoring is proposed. Along with a basic martinga:le property and a Brownian motion approximation for a related rank order process, asymptotic distribution theory of the proposed statistics is developed. Asymptotic performance characteristics of the proposed tests (in the light of Bahadur efficiency and the stochastic smallness of the stopping variables) are studied.
88 citations
"A Conversation with Shoutir Kishore..." refers background in this paper
...gressively censored experiments [23] and on testing the hypothesis of symmetry for independent but not...
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TL;DR: In this article, the Wilcoxon-Mann-Whitney rank-sum test and Mood's median test for the univariate two-sample location problem were extended to the case of two variables, following a cond...
Abstract: SummaryIn this paper, the Wilcoxon-Mann-Whitney rank-sum test and Mood's median test for the univariate two-sample location problem have been extended to the case of two variables, following a cond...
85 citations
"A Conversation with Shoutir Kishore..." refers methods in this paper
...Given his familiarity with nonparametric technology, thereafter, Pranab took a leading role and very quickly multivariate versions of the Wilcoxon and median tests for the two-sample location problem were worked out [20]....
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TL;DR: If the conditioning variable is required to depend only on the value of the minimal sufficient statistic, Birnbaum's proof fails as mentioned in this paper, and it is shown that this condition fails.
Abstract: If the conditioning variable is required to depend only on the value of the minimal sufficient statistic, Birnbaum's proof fails.
46 citations
"A Conversation with Shoutir Kishore..." refers background in this paper
...Chatterjee: The weakness of the proof of the implication that you are talking about had been noted earlier in abstract terms, for instance, by Durbin [26]....
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