Statistical Paradigms

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.

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.