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Permutation Statistical Methods with R

comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text;

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Statistical Computing with R

feature R, Statistical Computing with R covers the traditional core material of computational statistics, with an emphasis on using the R language;

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Nonparametric Statistical Tests

different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods;

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Nonparametric Statistical Tests

different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods;

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A Primer of Permutation Statistical Methods

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods;

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A Primer of Permutation Statistical Methods

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods;

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Permutation Testing for Isotonic Inference on Association Studies in Genetics

regard to power properties with small sample sizes. In this framework we will work out some nonparametric statistical permutation tests and;

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The Measurement of Association

This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures;

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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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Comparing Groups

A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an;

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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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Resampling Methods

permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Multivariate Permutation Tests

relations between variables. Provides a clear exposition of the use of multivariate permutation testing, with emphasis on the use of nonparametric;

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Statistical Analysis of Financial Data: With Examples in R

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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Statistics Using R

practicing statistician, it will serve as a guide to R language for statistical analysis. For a researcher, it is a dual guide, simultaneously;

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Essentials of Modern Business Statistics with Microsoft (R) Excel (R)

Develop a strong conceptual understanding of statistics as ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT (R) EXCEL (R), 8E;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;

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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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Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a;

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Mathematical Statistics with Resampling and R

intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics;

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Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Statistical Bioinformatics with R

of R & SAS codeProvides coverage of complex statistical methods in context with applications in bioinformaticsExercises and;

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Simulation for Data Science with R

agent-based micro-, model- and design-based simulations * Applications to design statistical solutions with R for solving scientific and real;

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Intermediate Statistical Methods for Business and Economics

Intermediate Statistical Methods for Business and Economics is een boek van R. Van den Honert;

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