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  • Search: subject:"permutation methods"
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Year of publication
Subject
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permutation methods 3 bootstrap 2 familywise error rate 2 multiple hypothesis testing 2 rwolf 2 step-down procedure 2 Bootstrap approach 1 Bootstrap-Verfahren 1 Estimation theory 1 Monte Carlo simulation 1 Monte-Carlo-Simulation 1 RESPERM 1 Schätztheorie 1 Statistical test 1 Statistischer Test 1 Theorie 1 Theory 1 changepoint detection 1
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Online availability
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Free 3 CC license 1
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3
Author
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Clarke, Damian 2 Romano, Joseph P. 2 Wolf, Michael 2 Kończak, Grzegorz 1 Stapor, Katarzyna 1
Published in...
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Discussion paper series / IZA 1 IZA Discussion Papers 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Changepoint detection with the use of the RESPERM method : a Monte Carlo study
Kończak, Grzegorz; Stapor, Katarzyna - In: Statistics in transition : an international journal of … 24 (2023) 5, pp. 167-184
RESPERM (residuals permutation-based method) is a single changepoint detection method based on regression residuals permutation, which can be applied to many physiological situations where the regression slope can change suddenly at a given point. This article presents the results of a Monte...
Persistent link: https://www.econbiz.de/10015125226
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The Romano-Wolf Multiple Hypothesis Correction in Stata
Clarke, Damian; Romano, Joseph P.; Wolf, Michael - 2019
When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...
Persistent link: https://www.econbiz.de/10012180038
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The Romano-Wolf multiple hypothesis correction in Stata
Clarke, Damian; Romano, Joseph P.; Wolf, Michael - 2019
When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...
Persistent link: https://www.econbiz.de/10012147332
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