Statistical Paradigms: Recent Advances And Reconciliations
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| Title: | Statistical Paradigms: Recent Advances And Reconciliations |
|---|---|
| Description: | 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. |
| Authors: | Ashis Sengupta, Tapas Samanta, Ayanendranath Basu |
| Resource Type: | eBook. |
| Subjects: | Parameter estimation, Estimation theory |
| Categories: | MATHEMATICS / Probability & Statistics / Bayesian Analysis, MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / Regression Analysis |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | 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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| ISBN: | 9789814343954 9789814343961 9789814644112 |
