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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, ...
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.
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...
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...
A Convex Combination of Two-Sample U-Statistics
convex combination two-sample U-statistic two-sample V-statistic
2009/3/6
A convex combination of one-sample U-statistics was introduced by Toda and Yamato (2001) and its Edgeworth expansion was derived by Yamato et al. (2003). We introduce a convex combination of two-sampl...
Nonparametric two-sample tests for increasing convex order
bootstrap critical values empirical stop-loss transform increasing convex order one-sided two-sample tests
2010/3/18
Given two independent samples of non-negative random variables with unknown distribution
functions F and G, respectively, we introduce and discuss two tests for the hypothesis that F is less than or ...