1961
DOI: 10.2307/2332765
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Tables of the Freeman-Tukey Transformations for the Binomial and Poisson Distributions

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Biometrika Trust is collaborating with JSTOR to digitize, preserve and extend access to Biometrika. SUMMARY We present a table of the Freeman-Tukey variance stabilizing arc-si… Show more

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Cited by 48 publications
(34 citation statements)
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“…For the meta-analysis, the proportions of the individual studies were Freeman–Tukey transformed [35] to enable the application of the common methods for fixed and random effects [6]. The pooled proportion was then calculated by inverse transformation of the weighted averages of the transformed proportions.…”
Section: Methodsmentioning
confidence: 99%
“…For the meta-analysis, the proportions of the individual studies were Freeman–Tukey transformed [35] to enable the application of the common methods for fixed and random effects [6]. The pooled proportion was then calculated by inverse transformation of the weighted averages of the transformed proportions.…”
Section: Methodsmentioning
confidence: 99%
“…Data transformations were employed to stabilize variance and to improve distribution normality in non-normally distributed data. The Freeman-Tukey transformation, a double arcsine transformation, was used to convert binomial counts to working quantities prior to analyses designed to fit normally distributed data 10. Independent binomial proportions were transformed prior to calculation of a pooled proportions estimate.…”
Section: Methodsmentioning
confidence: 99%
“…The percentage hen-day production (%HDP) of normal, defective and total eggs were transformed to arc sinV% prior to analysis. Freeman-Tukey arc sins were obtained for proportions based on less than 50 observations (Mosteller and Youtz, 1961). Comparisons among means were by Duncan's multiple range test.…”
Section: Methodsmentioning
confidence: 99%