Arbeitspapier

Hypothesis Testing for Arbitrary Bounds

I derive a rigorous method to help determine whether a true parameter takes a value between two arbitrarily chosen points for a given level of confidence via a multiple testing procedure which strongly controls the familywise error rate. For any test size, the distance between the upper and lower bounds can be made smaller than that created by a confidence interval. The procedure is more powerful than other multiple testing methods that test the same hypothesis. This test can be used to provide an affirmative answer about the existence of a negligible effect.

Language
Englisch

Bibliographic citation
Series: Queen's Economics Department Working Paper ; No. 1319

Classification
Wirtschaft
Hypothesis Testing: General
Methodological Issues: General
Subject
familywise error
multiple testing
null effect,
partial identification
precise zero

Event
Geistige Schöpfung
(who)
Penney, Jeffrey
Event
Veröffentlichung
(who)
Queen's University, Department of Economics
(where)
Kingston (Ontario)
(when)
2013

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Penney, Jeffrey
  • Queen's University, Department of Economics

Time of origin

  • 2013

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