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Exact and approximate stepdown methods for multiple hypothesis testing
Romano, Joseph P. (contributor); Wolf, Michael (contributor) - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002110443
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Optimal testing of multiple hypotheses with common effect direction
Bittman, Richard M.; Romano, Joseph P.; Vallarino, Carlos; … - 2008 - July 2008
Persistent link: https://www.econbiz.de/10003805687
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Formalized data snooping based on generalized error rates
Romano, Joseph P.; Shaikh, Azeem M.; Wolf, Michael - In: Econometric theory 24 (2008) 2, pp. 404-447
Persistent link: https://www.econbiz.de/10003894203
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Testing multiple hypotheses with common effect : direction using the closure method
Bittman, Richard M.; Romano, Joseph P.; Vallarino, Carlos; … - 2006
Persistent link: https://www.econbiz.de/10003425961
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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 - 2008 - Dec. 2008
Persistent link: https://www.econbiz.de/10003684359
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Consonance and the closure method in multiple testing
Romano, Joseph P.; Shaikh, Azeem M.; Wolf, Michael - 2009
Persistent link: https://www.econbiz.de/10003942222
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Hypothesis testing in econometrics
Romano, Joseph P.; Shaikh, Azeem M.; Wolf, Michael - 2009
Persistent link: https://www.econbiz.de/10003942223
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Hypothesis testing in econometrics
Romano, Joseph P.; Shaikh, Azeem M.; Wolf, Michael - In: Annual review of economics 2 (2010), pp. 75-104
Persistent link: https://www.econbiz.de/10008659710
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Alternative tests for monotonicity in expected asset returns
Romano, Joseph P.; Wolf, Michael - 2011
Persistent link: https://www.econbiz.de/10009260813
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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