Statistical paradigms : recent advances and reconciliations
著者
書誌事項
Statistical paradigms : recent advances and reconciliations
（Platinum jubilee series, . Statistical science and interdisciplinary research ; v. 14）
World Scientific, c2015
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注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
- 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.
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