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

DOI10.1080/03610929608831787zbMath0900.62257OpenAlexW2104876604WikidataQ42038216 ScholiaQ42038216MaRDI QIDQ4337232

P. C. Yoshi, Sharmishtha Chakraborty

Publication date: 19 May 1997

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

Full work available at URL: https://doi.org/10.1080/03610929608831787

zbMATH Keywords

series expansionsCauchy distributionRiemann zeta functionsexact moments

Mathematics Subject Classification ID

Exact distribution theory in statistics (62E15) Order statistics; empirical distribution functions (62G30)

Uses Software

• SAS

Cites Work

• Unnamed Item
• Unnamed Item
• 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

This page was built for publication: Bias in linear model power and sample size calculation due to estimating noncentrality