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Statistical Paradigms : Recent Advances And Reconciliations - Ashis Sengupta

Statistical Paradigms

Recent Advances And Reconciliations

By: Ashis Sengupta (Editor), Tapas Samanta (Editor), Ayanendranath Basu (Editor)

Hardcover | 3 October 2014

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This volume consists of a collection of research articles on classical and emerging Statistical Paradigms - parametric, non-parametric and semi-parametric, frequentist and Bayesian - encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability.

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