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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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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Art�culos relacionados a Statistical Paradigms : Recent Advances and Reconciliations

Statistical Paradigms : Recent Advances and Reconciliations

Sengupta, Ashis (EDT); Samanta, Tapas (EDT); Basu, Ayanendranath (EDT)

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