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STATISTICAL PARADIGMS

Autor Sengupta Ashis
en Limba Engleză Hardback – 3 oct 2014
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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Specificații

ISBN-13: 9789814343954
ISBN-10: 9814343951
Pagini: 310
Ilustrații: black & white illustrations
Dimensiuni: 157 x 235 x 21 mm
Greutate: 0.6 kg
Editura: World Scientific

Cuprins

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.