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Graph-Based Tests for Two-Sample Comparisons of Categorical Data
Two-sample tests categorical data discrete data minimum spanning trees graph-based tests contingency table.
2012/9/18
We study the problem of two-sample comparisons with categorical data when the contingency table is sparsely populated. Classical methods, such as the Pearson's
Chi-square test and the deviance test, ...
Two sample tests for high-dimensional covariance matrices
High-dimensional covariance large p small n likelihood ratio test testing for gene-sets
2012/6/21
We propose two tests for the equality of covariance matrices between two high-dimensional populations. One test is on the whole variance--covariance matrices, and the other is on off-diagonal sub-matr...
Dvoretzky--Kiefer--Wolfowitz Inequalities for the Two-sample Case
Kolmogorov–Smirnov test empirical distribution functions Statistics Theory
2011/9/21
Abstract: The Dvoretzky--Kiefer--Wolfowitz (DKW) inequality says that if $F_n$ is an empirical distribution function for variables i.i.d.\ with a distribution function $F$, and $K_n$ is the Kolmogorov...
Some notes on biasedness and unbiasedness of two-sample Kolmogorov-Smirnov test
notes biasedness unbiasedness two-sample Kolmogorov-Smirnov test
2011/7/6
This paper deals with two-sample Kolmogorov-Smirnov test and its biasedness. This test is not unbiased in general in case of different sample sizes.
Estimation of the mean of functional time series and a two sample problem
Functional data analysis Time series Two sample problem Long–run variance Eurodollar futures
2011/6/15
This paper is concerned with inference based on the mean function of a functional
time series, which is defined as a collection of curves obtained by splitting a continuous
time record, e.g. into da...
Likelihood ratio type two-sample tests for current status data
Nonparametric two sample tests current status data likelihood ratio Weibull distribu-tions
2011/3/24
We introduce fully nonparametric two sample tests for testing the null hypothesis that the two samples come from the same distribution if the values are only indirectly given via current status censor...
Likelihood ratio type two-sample tests for current status data
Nonparametric two sample tests current status data, likelihood ratio Weibull distribu-tions
2011/3/23
We introduce fully nonparametric two sample tests for testing the null hypothesis that the two samples come from the same distribution if the values are only indirectly given via current status censor...
Coupling optional Pólya trees and the two sample problem
Coupling optional Pólya trees the two sample problem
2010/11/9
Testing and characterizing the difference between two data samples is of fundamen-tal interest in statistics. Existing methods such as Kolmogorov-Smirnov and Cramer-von-Mises tests do not scale well a...
A two-sample test for high-dimensional data with applications to gene-set testing
High dimension gene-set testing large p small n martingale central limit theorem multiple comparison
2010/3/10
We propose a two-sample test for the means of high-dimensional
data when the data dimension is much larger than the sample size.
Hotelling’s classical T 2 test does not work for this “large p, small...
Log-linear modeling and two-sample CFA in the search of discrimination types
Two-sample comparison Configural Frequency Analysis (CFA) two-sample CFA log-linear modeling (LLM) nonparametric testing contingency table analysis
2010/1/4
Two-sample configural frequency (CFA) is suggested as a useful statistical tool to compare data from pretest-posttest-designs. The investigated data may be difference or improvement scores. The above ...
A comparison of tests used in 2 x 2 tables and in two-sample CFA
Two-sample Configural Frequency Analysis 2 x 2 tables relative power distribution of statistics marginal-free marginal-dependent
2010/1/4
This article presents results from a simulation study on the characteristics of five tests that are used or useable both for the analysis of 2 x 2 tables in general and in two-sample Configural Freque...
Psychotherapy research based on Two-Sample CFA and Markov-Chain Analysis
Psychotherapy research Two-sample CFA single-case studies time-series analysis
2009/12/31
A combination of configural frequency analysis (CFA) and time-series analysis is proposed for studying the effects of psychotherapy. By means of Two-sample CFA the multivariate behavior pat-terns obse...
The robustness of two sample tests for means–a reply on von Eye’s comment
robustness non-normality variance heterogeneity discrete distributions autocorrelation t-test
2009/12/29
The question, which test; the t-test or the Wilcoxon test for comparing means of two distributions has to be preferred must be answered by “the t-test”. Both tests are robust against non-normality wit...
Sequential Estimation of the Ratio of Scale Parameters in the Exponential Two-sample Problem
Doob's maximal inequality fully sequential procedure regret second order approximation Wald's lemma
2009/3/10
We consider a sequential point estimation of the ratio of two exponential scale parameters. For a fully sequential sampling scheme, second order approximations are obtained to the expected sample size...
Asymptotic Confidence Intervals Based on M-procedures in One- and Two-sample Models
asymptotics confidence region M-estimators robustness
2009/3/9
Asymptotic confidence intervals of location parameters are proposed in one- and two-sample models. These are robust procedures based on scale-invariant M-statistics. The one-sample procedures have the...