By Ashis Sengupta, Tapas Samanta, Ayanendranath Basu
This quantity comprises a set of analysis articles on classical and rising Statistical Paradigms — parametric, non-parametric and semi-parametric, frequentist and Bayesian — encompassing either theoretical advances and rising functions in quite a few medical disciplines. For advances in idea, the themes comprise: Bayesian Inference, Directional info research, Distribution concept, Econometrics and a number of checking out approaches. The components in rising purposes comprise: Bioinformatics, Factorial Experiments and Linear types, Hotspot Geoinformatics and Reliability.
Readership: Researchers, pros and complex scholars engaged on Bayesian and frequentist techniques to statistical modeling and on interfaces for either thought and functions.
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1. Introduction Prior to 1960s, nonparametrics, usually referred to as distribution-free or rank based methods, were mostly confined to specific simple models where suitable hypotheses of invariance led to statistical inference (mostly, testing) procedures without explicitly assuming the form of underlying distributions (as is customarily the case in parametric statistical inference).