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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers;

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Multivariate Nonparametric Regression And Visualization

, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions;

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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 Models for Longitudinal Data

* Presents nonparametric models for conditional distributions and functionals * Illustrates implementations using R software packages * Includes;

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Nonparametric Statistical Inference

... a good textbook for a beginning graduate-level course in nonparametric statistics. - Journal of the American Statistical Association;

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Robust Nonparametric Statistical Methods

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers;

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Empirical Likelihood Methods in Biomedicine and Health

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the;

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Empirical Likelihood Methods in Biomedicine and Health

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the;

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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 Statistics for Non-Statisticians

nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Next, SPSS(r) screen;

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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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Nonparametric Statistics for Social and Behavioral Sciences

nonparametric procedures using IBM's SPSS software. This text is the only current nonparametric book written specifically for students in the;

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Nonparametric Statistics for Social and Behavioral Sciences

nonparametric procedures using IBM's SPSS software. This text is the only current nonparametric book written specifically for students in the;

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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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Nonparametric Finance

An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function;

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Modern Nonparametric, Robust and Multivariate Methods

multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust;

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Univariate Bivariate & Multivariate Stat

Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods;

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Nonparametric Techniques in Statistical Inference

only slight loss of accuracy. The field of nonparametric statistics is occupying an increasingly important role in statistical theory as well;

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Understanding and Applying Basic Statistical Methods Using R

Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and;

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Statistics Using R

explaining appropriate statistical methods for the problems at hand and indicating how these methods can be implemented using the R language. For a;

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Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs: Using R and SAS

possible, including appropriate descriptive statistics which follow a nonparametric paradigm, as well as corresponding inferential methods using;

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Nonparametric Statistical Tests

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known;

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Nonparametric Statistical Tests

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known;

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An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics

Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent;

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Nonparametric Statistical Methods

successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important;

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