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  • Search: subject:"stepdown procedure"
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Year of publication
Subject
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Bootstrap 4 Multiple Testing 3 Stepdown procedure 3 Adjusted p-values 2 False Discovery Proportion 2 False Discovery Rate 2 Multiple testing 2 Resampling 2 Stepdown Procedure 2 Bootstrap approach 1 Bootstrap-Verfahren 1 Estimation theory 1 Generalized Familywise Error Rates 1 Generalized familywise error rate 1 Schätztheorie 1 Statistical test 1 Statistischer Test 1 Subsampling 1 familywise error rate 1 multiple testing 1 permutation test 1 randomization test 1 stepdown procedure 1 subsampling 1
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Online availability
All
Free 6
Type of publication
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Book / Working Paper 6
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 3 Undetermined 3
Author
All
Wolf, Michael 6 Romano, Joseph P. 5 Romano, Joseph 1 Shaikh, Azeem M. 1
Institution
All
Institut für Volkswirtschaftslehre, Wirtschaftswissenschaftliche Fakutät 3 Department of Economics and Business, Universitat Pompeu Fabra 1
Published in...
All
IEW - Working Papers 3 Economics Working Papers / Department of Economics and Business, Universitat Pompeu Fabra 1 Working Paper 1 Working paper series / University of Zurich, Department of Economics 1
Source
All
RePEc 4 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 6 of 6
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Efficient computation of adjusted p-values for resampling-based stepdown multiple testing
Romano, Joseph P.; Wolf, Michael - 2016
There has been a recent interest in reporting p-values adjusted for resampling-based stepdown multiple testing procedures proposed in Romano and Wolf (2005a,b). The original papers only describe how to carry out multiple testing at a fixed significance level. Computing adjusted p-values instead...
Persistent link: https://www.econbiz.de/10011663178
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Efficient computation of adjusted p-values for resampling-based stepdown multiple testing
Romano, Joseph P.; Wolf, Michael - 2016
There has been a recent interest in reporting p-values adjusted for resampling-based stepdown multiple testing procedures proposed in Romano and Wolf (2005a,b). The original papers only describe how to carry out multiple testing at a fixed significance level. Computing adjusted p-values instead...
Persistent link: https://www.econbiz.de/10011432996
Saved in:
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Balanced Control of Generalized Error Rates
Romano, Joseph P.; Wolf, Michael - Institut für Volkswirtschaftslehre, … - 2008
Consider the problem of testing s hypotheses simultaneously. In this paper, we derive methods which control the generalized familywise error rate given by the probability of k or more false rejections, abbreviated k-FWER. We derive both single-step and stepdown procedures that control the k-FWER...
Persistent link: https://www.econbiz.de/10005627785
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Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling
Romano, Joseph P.; Shaikh, Azeem M.; Wolf, Michael - Institut für Volkswirtschaftslehre, … - 2008
This paper considers the problem of testing s null hypotheses simultaneously while controlling the false discovery rate (FDR). Benjamini and Hochberg (1995) provide a method for controlling the FDR based on p-values for each of the null hypotheses under the assumption that the p-values are...
Persistent link: https://www.econbiz.de/10005627803
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Exact and approximate stepdown methods for multiple hypothesis testing
Romano, Joseph; Wolf, Michael - Department of Economics and Business, Universitat … - 2003
Consider the problem of testing k hypotheses simultaneously. In this paper, we discuss finite and large sample theory of stepdown methods that provide control of the familywise error rate (FWE). In order to improve upon the Bonferroni method or Holm's (1979) stepdown method, Westfall and Young...
Persistent link: https://www.econbiz.de/10005772539
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Control of Generalized Error Rates in Multiple Testing
Romano, Joseph P.; Wolf, Michael - Institut für Volkswirtschaftslehre, …
Consider the problem of testing s hypotheses simultaneously. The usual approach to dealing with the multiplicity problem is to restrict attention to procedures that control the probability of even one false rejection, the familiar familywise error rate (FWER). In many applications, particularly...
Persistent link: https://www.econbiz.de/10005463520
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