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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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Statistics for Astrophysics

This book contains statistics courses on basic to advanced methods with practical exercises using the R environment, by leading experts;

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Nonparametric Statistics for Social and Behavioral Sciences

, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common;

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Nonparametric Statistics for Social and Behavioral Sciences

, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common;

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Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

A New Way of Analyzing Object Data from a Nonparametric Viewpoint Nonparametric Statistics on Manifolds and Their Applications to Object;

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Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

general nonparametric theory for analyzing data on manifolds, methods for working with specific spaces, and extensive applications to practical;

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All of Nonparametric Statistics

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference;

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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 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 Techniques in Statistical Inference

Nonparametric techniques in statistics are those in which the data are ranked in order according to some particular characteristic. When;

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A Primer on Nonparametric Analysis, Volume I

Nonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics;

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A Primer on Nonparametric Analysis, Volume II

Nonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics;

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Nonparametric Statistical Methods For Complete and Censored Data

Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;

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Nonparametric Statistical Methods For Complete and Censored Data

Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;

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Nonparametric Statistical Methods And Related Topics

that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting;

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Nonparametric Statistical Methods

Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical;

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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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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 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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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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Practical Nonparametric Statistics

nonparametric procedures. This edition features some procedures that have withstood the test of time and are now used by many practitioners, such as the;

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Applied Nonparametric Statistical Methods

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the;

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Practical Statistics for Students

This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle;

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