Mohan Delampady

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Testing of precise (point or small interval) hypotheses is reviewed, with special emphasis placed on exploring the dramatic conflict between conditional measures (Bayes factors and posterior probabilities) and the classical P-value (or observed significance level). This conflict is highlighted by finding lower bounds on the conditional measures over wide(More)
A productive way forward in studies of animal populations is to efficiently make use of all the information available, either as raw data or as published sources, on critical parameters of interest. In this study, we demonstrate two approaches to the use of multiple sources of information on a parameter of fundamental interest to ecologists: animal density.(More)
THE INDIAN GOVERNMENT REPORTED A 16% increase in tiger numbers over the past 4 years (News of the Week, Around the World item “Tiger numbers up? Maybe,” 1 April, p. 18). This implies an average increase of 49% in local tiger densities, despite the reported range contraction of 22%. Yet these assertions cannot be verifi ed because details of tiger(More)
Abstract: A simple Bayesian approach to nonparametric regression is described using fuzzy sets and membership functions. Membership functions are interpreted as likelihood functions for the unknown regression function, so that with the help of a reference prior they can be transformed to prior density functions. The unknown regression function is decomposed(More)
The authors consider the correlation between two arbitrary functions of the data and a parameter, when the latter is regarded as a random variable with given prior distribution. They show how to compute such a correlation and use closed form expressions to assess the dependence between parameters and various classical or robust estimators thereof, as well(More)
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