G
Gaurangadeb Chattopadhyay
Researcher at University of Calcutta
Publications - 22
Citations - 84
Gaurangadeb Chattopadhyay is an academic researcher from University of Calcutta. The author has contributed to research in topics: Estimator & Minimum-variance unbiased estimator. The author has an hindex of 4, co-authored 20 publications receiving 71 citations.
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Comparative Efficacies of Artemisinin Combination Therapies in Plasmodium falciparum Malaria and Polymorphism of pfATPase6, pfcrt, pfdhfr, and pfdhps Genes in Tea Gardens of Jalpaiguri District, India
Pabitra Saha,Subhasish Kamal Guha,Sonali Das,Shrabanee Mullick,Swagata Ganguly,Asit Biswas,Dilip K. Bera,Gaurangadeb Chattopadhyay,Madhusudan Das,Pratip Kumar Kundu,Krishnangshu Ray,Ardhendu Kumar Maji +11 more
TL;DR: In India, chloroquine has been replaced by a combination of artesunate and sulfadoxine-pyrimethamine (AS-SP) for uncomplicated P. falciparum malaria, and artemether-lumefantrine and artesUNate-mefloquine are effective alternatives to the artes unate-sulfadoxines-pyrethamines combination.
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Simultaneous identification of growth law and estimation of its rate parameter for biological growth data: a new approach
TL;DR: A new estimator of the relative growth rate is proposed, which is more sensitive to the true underlying model than the existing one and may help experimental scientists to study more closely the effect of the parameters responsible for the growth of the organism/population under study.
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Inference on Polychotomous Responses in Finite Populations.
TL;DR: In this article, a model-based predictive estimator is proposed for the population proportions of a polychotomous response variable, based on a sample from the population and on auxiliary variables, whose values are known for the entire population.
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Detailed Statistical Inference—An Alternative Non-Bayesian Approach : Two-Decision Problem:
TL;DR: In this paper, a new approach to detailed inference for any two-decision problem under the frequentist framework is proposed, based on a somewhat different interpretation of the confidence coefficients in terms of betting odds.
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Detailed Statistical Inference-multiple Decision Problem
TL;DR: In this paper, the authors extended the procedure for detailed statistical inference developed by the authors in 1992 for the two-decision case, is extended here to the case of several decisions, alongwith the rule for choosing the decision, the problem of stating data dependent measures of confidence in terms of betting odds, is considered.