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Simulation of Twin Data Controlling Population Mean, Variance, Skewness and Kurtosis

Published online by Cambridge University Press:  01 August 2014

Joe C. Christian ,
Joan E. Bailey ,
Mary M. Evans ,
K. W. Kang ,
James A. Norton Jr.  and
P.L. Yu
Joe C. Christian*
Affiliation:
Departments of Medical Genetics and Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
Joan E. Bailey
Affiliation:
Departments of Medical Genetics and Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
Mary M. Evans
Affiliation:
Departments of Medical Genetics and Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
K. W. Kang
Affiliation:
Departments of Medical Genetics and Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
James A. Norton Jr.
Affiliation:
Departments of Medical Genetics and Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
P.L. Yu
Affiliation:
Departments of Medical Genetics and Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
*
Department of Medical Genetics, Indiana Univeristy Medical Center, 1100 West Michigan Street, Indianapolis, Indiana 46202, USA

Abstract

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A computer system for simulation of quantitative twin data is being developed. The capability is being built in to simulate distributions with known means, standard deviations, skewness and kurtosis.

Type
Brief Report
Information
Acta geneticae medicae et gemellologiae: twin research , Volume 26 , Issue 1 , January 1977 , pp. 87 - 88
Copyright
Copyright © The International Society for Twin Studies 1977

References

REFERENCES

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Christian, J.C., Norton, J.A. Jr. 1977. A proposed test of the difference between the means of monozygotic and dizygotic twins. Acta Genet. Med. Gemellol., 26: 49–53.Google Scholar
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