Statistical Paradigms: Recent Advances And Reconciliations

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.

List of contents

Weak Paradoxes And Paradigms; Nonparametrics in Modern Interdisciplinary Research: Some Perspectives and Prospectives; Stepdown GERT Analysis of Consecutive-K Systems: An Overview; Bounds on Distributions Involving Partial, Marginal and Conditional Information: The Consequences of Incomplete Prior Specification; New Wrapped Distributions; Non-Stationarity and Meta-Distribution; Moment Bounds for Strong-Mixing Processes with Applications; On Confidence Intervals for Expected Response in 2n Factorial Experiments with Exponentially Distributed Response Variables; Non-parametric Estimation in a One-Way Error Component Model: A Monte-Carlo Analysis; Predictive Influence of Variables in a Linear Regression Model When the Moment Matrix (X'X) is Singular; Bayesian Curve Registration of Functional Data; MDL Modeling Criterion for Linear Mixed Models; Procedures Controlling a Generalized False Discovery Rate; Digital Governance and Hotspot Geoinformatics with Continuous Fractional Response.

Product details

• Authors: Tapas Samanta Et Al Ashis Sengupta
• Assisted by: Ayanendranath Basu (Editor), Basu Ayanendranath (Editor), Tapas Samanta (Editor), Samanta Tapas (Editor), Ashis SenGupta (Editor)
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 04.11.2014
• EAN: 9789814343954
• ISBN: 978-981-4343-95-4
• Series: Statistical Science and Interd; Statistical Science And Interdisciplinary Research
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics