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Recent Advances and Trends in Nonparametric Statistics

nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting;

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Nonparametric Models for Longitudinal Data

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric;

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Nonparametric Models for Longitudinal Data

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Asymptotic Efficiency of Nonparametric Tests

is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics;

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Asymptotic Efficiency of Nonparametric Tests

is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics;

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Some Recent Advances In Mathematics And Statistics - Proceedings Of Statistics 2011 Canada/imst 2011-fim Xx

Ordering; Classification, Nonparametric Test, and Jackknifed Ridge Estimator; Bayes Factor; Random Graphs and Error Correcting Codes; Meta Analysis;

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All of Nonparametric Statistics

method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and;

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Nonparametric Statistics And Mixture Models

in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad;

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Nonparametric Statistics for Non-Statisticians

A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance;

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Handbook Of Applied Econometrics And Statistical Inference

Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing;

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Handbook Of Applied Econometrics And Statistical Inference

Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing;

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Nonparametric Techniques in Statistical Inference

as in its applications. Nonparametric methods are mathematically elegant, and they also yield significantly improved performances;

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A Primer on Nonparametric Analysis, Volume I

. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric;

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A Primer on Nonparametric Analysis, Volume II

. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric;

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Nonparametric Statistical Methods And Related Topics

, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory.This volume presents state-of-the;

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Nonparametric Econometrics

This book systematically and thoroughly covers the vast literature on the nonparametric and semiparametric statistics and econometrics that;

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Nonparametric Econometrics

This book systematically and thoroughly covers the vast literature on the nonparametric and semiparametric statistics and econometrics that;

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Nonparametric Methods in Statistics

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Nonparametric Econometrics

. Nonparametric and semiparametric methods have attracted a great deal of attention from statisticians in recent decades. While the majority of existing;

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Nonparametric Econometric Methods

Methods', and the papers selected for inclusion in this Volume span a range of nonparametric techniques including kernel smoothing, empirical;

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Nonparametric Inference

This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and;

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Mathematical Statistics

nonparametric techniques. It covers topics in parametric and nonparametric large-sample estimation theory. The exposition is based on a collection;

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Distribution-Free Methods for Statistical Process Monitoring and Control

control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations;

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Distribution-Free Methods for Statistical Process Monitoring and Control

control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations;

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Nonparametric Statistics for Social and Behavioral Sciences

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts;

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