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Hidden Policies and Hypothesis Tests

The Implications of Type II Errors for Environmental Regulation

Bibliographic Data

ID6230146
AuthorsRobert D Duval, Leonard Groeneveld
Year1987
Volume31
Issue2
Pages423
Publication date1987-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0092-5853 • E-ISSN: 1540-5907
PublisherJSTOR (PUBLISHER)
DOI10.2307/2111083
OpenAlexW2329062645
LanguageEN
Citations received4
References cited5

In an examination of the federal hazardous waste regulations, an analysis of the importance of Type II statistical errors is undertaken. A method for approximating the power of the test is developed, and the EPA policy is examined under selected situations. Additionally a Monte Carlo simulation is provided which compares the efficacy of the EPA required t-test with the Wilcoxon rank sum test. The paper offers a number of conclusions about the appropriateness of the EPA test under selected circumstances. It also concludes that by specifying a sampling scheme without benefit of direct discussion of Type II errors, policy decisions may lie hidden within the statistical test

Econometrics · Hazardous waste · Monte Carlo method · Rank (graph theory · Statistical analysis · Statistical hypothesis testing · Statistical power · Statistics · Test (biology · Type (biology · Type I and type II errors · Waste management · Wilcoxon signed-rank test · Computer Science · Engineering · Environmental Justice and Health Disparities · Mathematics · Nuclear and radioactivity studies · Water Quality and Resources Studies

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Unique citing works4
Citations per year0,31
Citation span2013 - 2018 (6)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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