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Robust Statistical Methods with R, Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new;

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Robust Statistical Methods with R, Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new;

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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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Robust Statistics

, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods;

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Understanding and Applying Basic Statistical Methods Using R

of WRS (Wilcox Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes;

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Statistical Computing with R, Second Edition

statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these;

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Robust Control Design with Matlab(r)

Robust Control Design with MATLAB (R) (second edition) helps the student to learn how to use well-developed advanced robust control design;

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Person-Centered Methods

examines significant residuals in non-fitting models. New developments in the second edition include: Configural Mediation Models, CFA with;

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Environmental and Ecological Statistics with R

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied;

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Environmental and Ecological Statistics with R

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied;

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Robust Statistics

and provides readers with ample motivation for working with the presented methods and techniques. Robust Statistics , Second Edition is an;

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Introduction to Robust and Quasi-Robust Statistical Methods

Introduction to Robust and Quasi-Robust Statistical Methods is een boek van William J.J. Rey;

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Simulation and Robust Statistics

This book addresses the topics statistical simulation and robust estimation. It is accompanied by several software packages for the open;

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Spatial Analysis with R

are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving;

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Robust Statistics

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into;

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Dynamic Documents with R and knitr, Second Edition

Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical;

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Robust Nonlinear Regression

accompanying website Robust Nonlinear Regression: with Applications using R is an ideal text for statisticians, biostatisticians, and statistical;

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Student Study Guide With IBM (R) SPSS (R) Workbook for Research Methods, Statistics, and Applications 2e

performing statistical calculations in IBM(R) SPSS (R) along with additional exercises to reinforce concepts in the text. It follows the main text;

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Statistics For Experimenters

solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge;

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Dynamic Documents With R & knitr Second

Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new;

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Statistical Methods in Diagnostic Medicine

accuracy studies, and present key statistical methods for estimating and comparing test accuracy. Topics new to the Second Edition include;

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Robust Multivariate Analysis

published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics;

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Introduction to Robust Estimation and Hypothesis Testing

in different situations. Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications;

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