Add to ORKGThe coin package implements a unified approach for conditional inference pro-cedures commonly known as permutation tests. The theoretical basis of design and implementation is the unified framework for permutation tests given by Strasser and Weber (1999). For a very flexible formulation of multivariate lin
Title: Permutation Tests of Statistical Hypotheses Author: Zdeněk Veselý Department: Department of P...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
Background: For small, skewed, sparse, unbalanced data, or data with lots of ties the exact P values...
The coin package implements a unified approach for conditional inference pro-cedures commonly known ...
The R package coin implements a unified approach to permutation tests providing a huge class of inde...
This description of the R package coin is a (slightly) modified version of Hothorn, Hornik, van de W...
Abstract Conditioning on the observed data is an important and flexible design principle for statist...
Conditioning on the observed data is an important and flexible design principle for statistical test...
Conditioning on the observed data is an important and flexible design principle for statistical test...
Conditioning on the observed data is an important and flexible design principle for statistical test...
In recent years permutation testing methods have increased both in number of applications and in sol...
This paper considers some testing problems for multivariate categorical variables within a condition...
The permutation approach for testing the equality of distributions and thereby comparing two populat...
This paper deals with nonparametric methods for hypothesis testing with special regard to permutatio...
Determining conditional independence (CI) re-lationships between random variables is a chal-lenging ...
Title: Permutation Tests of Statistical Hypotheses Author: Zdeněk Veselý Department: Department of P...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
Background: For small, skewed, sparse, unbalanced data, or data with lots of ties the exact P values...
The coin package implements a unified approach for conditional inference pro-cedures commonly known ...
The R package coin implements a unified approach to permutation tests providing a huge class of inde...
This description of the R package coin is a (slightly) modified version of Hothorn, Hornik, van de W...
Abstract Conditioning on the observed data is an important and flexible design principle for statist...
Conditioning on the observed data is an important and flexible design principle for statistical test...
Conditioning on the observed data is an important and flexible design principle for statistical test...
Conditioning on the observed data is an important and flexible design principle for statistical test...
In recent years permutation testing methods have increased both in number of applications and in sol...
This paper considers some testing problems for multivariate categorical variables within a condition...
The permutation approach for testing the equality of distributions and thereby comparing two populat...
This paper deals with nonparametric methods for hypothesis testing with special regard to permutatio...
Determining conditional independence (CI) re-lationships between random variables is a chal-lenging ...
Title: Permutation Tests of Statistical Hypotheses Author: Zdeněk Veselý Department: Department of P...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
Background: For small, skewed, sparse, unbalanced data, or data with lots of ties the exact P values...