Bias in linear model power and sample size calculation due to estimating noncentrality

DOI10.1080/03610929608831787zbMath0900.62364OpenAlexW2104876604WikidataQ42038216 ScholiaQ42038216MaRDI QIDQ4337216

D. J. Taylor, Keith E. Muller

Publication date: 19 May 1997

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3867307

zbMATH Keywords

confidence boundseffect sizenoncentrality

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05)

Related Items (1)

A New Method for Choosing Sample Size for Confidence Interval-Based Inferences

Uses Software

• SAS
• AS 226

Cites Work

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• A Note on Computing the Noncentrality Parameter of the Noncentral F-Distribution
• Algorithm AS 226: Computing Noncentral Beta Probabilities
• A Note on Simultaneous Confidence Intervals

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