Title: Tests of independence for multivariate data Author: Bc. Michal Kudlík Department: Department of Probability and Mathematical Statistics Supervisor: Ing. Marek Omelka, PhD., Department of Probability and Mathema- tical Statistics Abstract: This thesis is an overview of tests of independence for multidimensi- onal data. The report includes tests on independence of categorical and conti- nuous random variables, tests assuming normal distribution of data, asymptotic nonparametric tests and permutation tests with application of the Monte Carlo method. This thesis shows the suitability of tests with properly chosen real data and checks significance level and compares the strength of the selected tests by simulation study while using approp...
AbstractA new nonparametric approach to the problem of testing the joint independence of two or more...
Six tests for independence in a two-way contingency table namely chi-squared test, log likelihood ra...
The main purpose of this work is to describe three well-known statistical tests of independence in t...
This thesis deals with tests of independence for time series of identically distributed Poisson rand...
Three simple and explicit procedures for testing the independence of two multi-dimensional random va...
The problem of testing mutual independence of p random vectors in a general setting where the dimens...
The goal of this diploma thesis is to introduce several tests of independence for time series follow...
The main objective of this thesis is the presentation regarding the problem of testing independence ...
This thesis deals with the problem of independence testing between two discrete ran- dom variables. ...
Three simple and explicit procedures for testing the independence of two multi-dimensional random va...
Three simple and explicit procedures for testing the independence of two multi-dimensional random va...
A simple statistic is proposed for testing the complete independence of random variables having a mu...
A simple statistic is proposed for testing the complete independence of random variables having a mu...
Three simple and explicit procedures for testing the independence of two multi-dimensional random va...
New test statistics are proposed for testing whether two random vectors are independent. Gieser and ...
AbstractA new nonparametric approach to the problem of testing the joint independence of two or more...
Six tests for independence in a two-way contingency table namely chi-squared test, log likelihood ra...
The main purpose of this work is to describe three well-known statistical tests of independence in t...
This thesis deals with tests of independence for time series of identically distributed Poisson rand...
Three simple and explicit procedures for testing the independence of two multi-dimensional random va...
The problem of testing mutual independence of p random vectors in a general setting where the dimens...
The goal of this diploma thesis is to introduce several tests of independence for time series follow...
The main objective of this thesis is the presentation regarding the problem of testing independence ...
This thesis deals with the problem of independence testing between two discrete ran- dom variables. ...
Three simple and explicit procedures for testing the independence of two multi-dimensional random va...
Three simple and explicit procedures for testing the independence of two multi-dimensional random va...
A simple statistic is proposed for testing the complete independence of random variables having a mu...
A simple statistic is proposed for testing the complete independence of random variables having a mu...
Three simple and explicit procedures for testing the independence of two multi-dimensional random va...
New test statistics are proposed for testing whether two random vectors are independent. Gieser and ...
AbstractA new nonparametric approach to the problem of testing the joint independence of two or more...
Six tests for independence in a two-way contingency table namely chi-squared test, log likelihood ra...
The main purpose of this work is to describe three well-known statistical tests of independence in t...