Abstract
There are different concepts to quantify the information contained in a data set. The classic result is from R.A.Fisher: Regarding a sample over a random variable. The Fisher-Information is defined under certain assumptions as the inverse of the Rao-Cramer barrier in the well known inequality of the same name. The Fisher-Informations are considered for the simplest genetic models of intheritance. This applies to medically relevant ranges of the inheritance model parameter and large data sets. The results are compared with exact calculations.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Biebler, K.E., Jäger, B.: Punkt-und Konfidenzschätzungen von Allelwahrscheinlichkeiten. In: Simianer, H. (ed.) Biometrische Aspekte der Genomanalyse, pp. 19–42. GinkgoPark Mediengesell-schaft, Berlin (1996)
Encyclopedia of Biostatistics, pp. 1609–1613. Wiley, Chichester (1998)
Johnson, N.L., Kotz, S., Kemp, A.W.: Univariate discrete distributions, 2nd edn. John Wiley & Sons Inc., Chichester (1992)
Daly, L.: Simple SAS macros for the calculation of exact binomial and Poisson confidence limits. Comput. Biol. Med. 22(5), 351–361 (1992)
Vogel, F., Motulsky, A.G.: Human Genetics. Springer, Heidelberg (1979)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Biebler, KE., Jäger, B., Wodny, M. (2003). How Exactly Do We Know Inheritance Parameters?. In: Perner, P., Brause, R., Holzhütter, HG. (eds) Medical Data Analysis. ISMDA 2003. Lecture Notes in Computer Science, vol 2868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39619-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-39619-2_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20282-0
Online ISBN: 978-3-540-39619-2
eBook Packages: Springer Book Archive