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Search: subject:"Two-Sample Problem"
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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
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1
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Nonparametric Regression
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Pitman efficiency
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1
Power curve
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Primary 62G05
1
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1
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1
Rank sum test
1
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1
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11
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4
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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
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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
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Annals of the Institute of Statistical Mathematics
6
Statistical Papers / Springer
2
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1
Computational Statistics & Data Analysis
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RePEc
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1
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
Saved in:
2
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
Saved in:
3
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
Saved in:
4
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
Saved in:
5
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
Saved in:
6
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
Saved in:
7
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
Saved in:
8
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
Saved in:
9
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
Saved in:
10
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
Saved in:
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