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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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Permutation Tests For Complex Data

sciences. As a result, modern statistics needs permutationtesting for complex data with low sample size and many variables,especially;

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Permutation Testing for Isotonic Inference on Association Studies in Genetics

. Permutation tests, in particular, will be extended to multivariate and more complex studies, where we deal with several genes and several alleles;

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A Primer of Permutation Statistical Methods

. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the;

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A Primer of Permutation Statistical Methods

. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the;

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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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Nonparametric Hypothesis Testing

techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features;

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Multivariate Permutation Tests

results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set;

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Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification;

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Multivariate Analysis Of Ecological Data

available from the book website: http://regent.prf.jcu.cz/maed2/. Written primarily for community ecologists needing to analyse data resulting from;

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Practitioner'S Guide To Resampling For Data Analysis, Data M

. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the;

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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the;

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Common Errors In Statistics (And How To Avoid Them)

interpretations and confidence intervals; counts and correlated data; model building and testing; Bayes' Theorem; bootstrap and permutation tests; and;

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

particular set of data. The book utilizes state-of-the-art software to demonstrate the practicality and benefits for data analysis in various fields;

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Test Case Prioritization Based on Data Reuse

for each test case; the better sequences of tests are those that reuse more data. We applied these techniques in a mobile phone testing;

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Permutation, Parametric, and Bootstrap Tests of Hypotheses

Previous edition sold over 1400 copies worldwide. This new edition includes many more rea;...

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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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The Econometrics of Complex Survey Data

, specification tests, and empirical likelihood estimation using complex survey data. For academics and students with an interest in econometrics and;

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Handbook Of Normative Data For Neuropsychological Assessment

When Handbook of Normative Data for Neuropsychological Assessment was published in 1999, it was the first book to provide;

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Permutation Groups and Cartesian Decompositions

only for primitive permutation groups but also for the larger families of quasiprimitive and innately transitive groups, including several;

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Combinatorial Inference in Geometric Data Analysis

Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud;

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Combinatorial Inference in Geometric Data Analysis

Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud;

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The Practice of Business Statistics

The Practice of Business Statistics offers a welcome innovation by allowing students to make data-informed, real-world business decisions;

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The Measurement of Association

is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research. Written for a;

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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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