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Year of publication
Subject
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Two-sample problem 7 two-sample problem 4 two sample problem 2 Asymptotic expansions 1 Asymptotic relative efficiency 1 Bartlett correction 1 Beta distribution 1 Bootstrap 1 Censored data 1 Common mean of normal distribution 1 Coverage accuracy 1 Cramér-von Mises 1 Cumulative hazard function 1 Empirical likelihood 1 Functional Principal Components 1 Gene expression data 1 Gene-set testing 1 High-dimensional data 1 Initial effect model 1 Kernel-type estimates 1 Kolmogorov-Smirnov test 1 Linear regression model 1 Location parameter 1 Martingale Transform 1 Modified Makeham distribution 1 Moments of order statistics 1 Monte Carlo 1 Monte Carlo test 1 Méthodes non-paramétriques 1 Nonparametric Regression 1 Nonparametric methods 1 Pitman efficiency 1 Pitman translation parameter 1 Power curve 1 Primary 62G05 1 Proportionality 1 Random subspace 1 Rank sum test 1 Rank test 1 Residual-Based Empirical Process 1
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Online availability
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Undetermined 10 Free 5
Type of publication
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Article 11 Book / Working Paper 4
Type of publication (narrower categories)
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Thesis 1
Language
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Undetermined 11 English 4
Author
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Park, Hyo-Il 2 Sugiura, Nariaki 2 Akritas, Michael 1 Benko, Michal 1 Cao, Ricardo 1 Choi, Jong-Hoo 1 Dufour, Jean-Marie 1 Farhat, Abdeljelil 1 Härdle, Wolfgang 1 Johnson, Richard 1 Kaiser, Johannes 1 Kallenberg, W. 1 Kneip, Alois 1 Kubokawa, Tatsuya 1 Lacy, Michael G. 1 Lee, Seong 1 Liu, Yukun 1 Maeda, Yasutomo 1 Molanes-López, Elisa 1 Mora, Juan 1 Murakami, H. 1 Murakami, Hidetoshi 1 Ogura, T. 1 Parzen, Emanuel 1 Thulin, Måns 1 Zi, Xuemin 1 Zou, Changliang 1
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Institution
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Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 1 Instituto Valenciano de Investigaciones Económicas (IVIE) 1 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1
Published in...
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Annals of the Institute of Statistical Mathematics 6 Statistical Papers / Springer 2 CIRANO Working Papers 1 Computational Statistics 1 Computational Statistics & Data Analysis 1 SFB 649 Discussion Papers 1 Stata Journal 1 Working Papers. Serie AD 1
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Source
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RePEc 14 BASE 1
Showing 1 - 10 of 15
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A general-purpose method for two-group randomization tests
Kaiser, Johannes; Lacy, Michael G. - In: Stata Journal 9 (2009) 1, pp. 70-85
We outline a novel approach to calculate exact p-levels for two-sample randomization tests. The approach closely resembles permute in its applications, with the main difference being that the results are approximated only if the execution time needed to calculate exact p-levels would exceed a...
Persistent link: https://www.econbiz.de/10005583377
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A high-dimensional two-sample test for the mean using random subspaces
Thulin, Måns - In: Computational Statistics & Data Analysis 74 (2014) C, pp. 26-38
A common problem in genetics is that of testing whether a set of highly dependent gene expressions differ between two populations, typically in a high-dimensional setting where the data dimension is larger than the sample size. Most high-dimensional tests for the equality of two mean vectors...
Persistent link: https://www.econbiz.de/10011056421
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A rank test based on the moments of order statistics of the modified Makeham distribution
Ogura, T.; Murakami, H. - In: Computational Statistics 29 (2014) 6, pp. 1691-1711
statistics from the MMD are calculated. In this study, the order statistic from the MMD was applied to the rank sum test in a two-sample … problem. The exact critical values of the designated statistics were evaluated. Simulations were used to investigate the power …
Persistent link: https://www.econbiz.de/10011151867
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Common Functional Principal Components
Benko, Michal; Härdle, Wolfgang; Kneip, Alois - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2006
: Functional Principal Components, Nonparametric Regression, Bootstrap, Two Sample Problem 1 2 M. BENKO, W. H¨ARDLE AND A …
Persistent link: https://www.econbiz.de/10005677915
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On two-sample data analysis by exponential model
Parzen, Emanuel (contributor) - 2005
. Also assumeindependence of the two samples. The two-sample problem tests homogeneity oftwo samples and formally can be … stated as H0 : F = G. To solve the two-sample problem,a number of tests have been proposed by statisticians in various … is nonparametric. Our approach gives graphical elementsin two-sample problem where exist not many graphical elements …
Persistent link: https://www.econbiz.de/10009465035
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THE TWO-SAMPLE PROBLEM WITH REGRESSION ERRORS: AN EMPIRICAL PROCESS APPROACH
Mora, Juan - Instituto Valenciano de Investigaciones Económicas (IVIE) - 2005
We describe how to test the null hypothesis that errors from two parametrically specified regression models have the same distribution versus a general alternative. First we obtain the asymptotic properties of test-statistics derived from the difference between the two residual-based empirical...
Persistent link: https://www.econbiz.de/10005731363
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Two-sample empirical likelihood method for difference between coefficients in linear regression model
Zi, Xuemin; Zou, Changliang; Liu, Yukun - In: Statistical Papers 53 (2012) 1, pp. 83-93
Persistent link: https://www.econbiz.de/10010848083
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Exact Nonparametric Two-Sample Homogeneity Tests for Possibly Discrete Distributions
Dufour, Jean-Marie; Farhat, Abdeljelil - Centre Interuniversitaire de Recherche en Analyse des … - 2001
In this paper, we study several tests for the equality of two unknown distributions. Two are based on empirical distribution functions, three others on nonparametric probability density estimates, and the last ones on differences between sample moments. We suggest controlling the size of such...
Persistent link: https://www.econbiz.de/10005101079
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Plug-in bandwidth selector for the kernel relative density estimator
Molanes-López, Elisa; Cao, Ricardo - In: Annals of the Institute of Statistical Mathematics 60 (2008) 2, pp. 273-300
Persistent link: https://www.econbiz.de/10005616202
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A nonparametric test for diagnosis of the proportionality assumption
Choi, Jong-Hoo; Park, Hyo-Il - In: Statistical Papers 48 (2007) 3, pp. 467-477
Persistent link: https://www.econbiz.de/10008486815
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