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On Optimality of Stepdown and Stepup Multiple Test Procedures
by
Romano, Joseph P.
, Shaffer, Juliet Popper
, Lehmann, E. L.
in
62F03
/ 62J15
/ Applied statistics
/ Coordinate systems
/ Critical values
/ Decision making
/ Exact sciences and technology
/ False positive errors
/ Familywise error rate
/ Hypothesis testing
/ Lebesgue measures
/ Logical givens
/ Mathematical monotonicity
/ Mathematical procedures
/ Mathematics
/ maximin
/ monotonocity
/ multiple testing
/ Multivariate analysis
/ Nonparametric inference
/ Null hypothesis
/ Parametric inference
/ Probability and statistics
/ Sciences and techniques of general use
/ Statistics
/ stepdown and stepup procedures
/ Studies
/ Testing Methodology
2005
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On Optimality of Stepdown and Stepup Multiple Test Procedures
by
Romano, Joseph P.
, Shaffer, Juliet Popper
, Lehmann, E. L.
in
62F03
/ 62J15
/ Applied statistics
/ Coordinate systems
/ Critical values
/ Decision making
/ Exact sciences and technology
/ False positive errors
/ Familywise error rate
/ Hypothesis testing
/ Lebesgue measures
/ Logical givens
/ Mathematical monotonicity
/ Mathematical procedures
/ Mathematics
/ maximin
/ monotonocity
/ multiple testing
/ Multivariate analysis
/ Nonparametric inference
/ Null hypothesis
/ Parametric inference
/ Probability and statistics
/ Sciences and techniques of general use
/ Statistics
/ stepdown and stepup procedures
/ Studies
/ Testing Methodology
2005
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Do you wish to request the book?
On Optimality of Stepdown and Stepup Multiple Test Procedures
by
Romano, Joseph P.
, Shaffer, Juliet Popper
, Lehmann, E. L.
in
62F03
/ 62J15
/ Applied statistics
/ Coordinate systems
/ Critical values
/ Decision making
/ Exact sciences and technology
/ False positive errors
/ Familywise error rate
/ Hypothesis testing
/ Lebesgue measures
/ Logical givens
/ Mathematical monotonicity
/ Mathematical procedures
/ Mathematics
/ maximin
/ monotonocity
/ multiple testing
/ Multivariate analysis
/ Nonparametric inference
/ Null hypothesis
/ Parametric inference
/ Probability and statistics
/ Sciences and techniques of general use
/ Statistics
/ stepdown and stepup procedures
/ Studies
/ Testing Methodology
2005
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On Optimality of Stepdown and Stepup Multiple Test Procedures
Journal Article
On Optimality of Stepdown and Stepup Multiple Test Procedures
2005
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Overview
Consider the multiple testing problem of testing k null hypotheses, where the unknown family of distributions is assumed to satisfy a certain monotonicity assumption. Attention is restricted to procedures that control the familywise error rate in the strong sense and which satisfy a monotonicity condition. Under these assumptions, we prove certain maximin optimality results for some well-known stepdown and stepup procedures.
Publisher
Institute of Mathematical Statistics,The Institute of Mathematical Statistics
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