Literature DB >> 6487724

Estimating parameters of the family-size distribution in ascertainment sampling schemes: numerical results.

W J Ewens, B Asaba.   

Abstract

It is argued that, in any ascertainment sampling scheme using data from families of various sizes, there is never any need to assume a particular form for the (unknown) family-size distribution. There exists a simple conditional method, making no assumptions about the family-size distribution, that is always preferable to the assumption of any particular distributional form. Furthermore, the simplicity of the conditional method gives insights into properties of estimates of genetic and ascertainment parameters, which are not available when a particular form for the family-size distribution is assumed.

Mesh:

Year:  1984        PMID: 6487724

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  3 in total

1.  Conditioning on subsets of the data: applications to ascertainment and other genetic problems.

Authors:  S E Hodge
Journal:  Am J Hum Genet       Date:  1988-10       Impact factor: 11.025

2.  Family-size distribution and Ewens' equivalence theorem.

Authors:  S E Hodge
Journal:  Am J Hum Genet       Date:  1985-01       Impact factor: 11.025

3.  The effects of a known family-size distribution on the estimation of genetic parameters.

Authors:  W J Ewens; S E Hodge; F H Ping
Journal:  Am J Hum Genet       Date:  1986-04       Impact factor: 11.025

  3 in total

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