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Some asymptotic results for the induced selection differential

Published online by Cambridge University Press:  14 July 2016

H. N. Nagaraja*
Affiliation:
The Ohio State University
*
Postal address: Department of Statistics, The Ohio State University, 128 Cockins Hall, 1958 Neil Avenue, Columbus, OH 43210, U.S.A.

Abstract

We define induced selection differential and discuss asymptotic distribution theory for this quantity. We also obtain the asymptotic joint distribution of the selection differential and the induced selection differential. These are used as measures of improvement in genetic selection programs. We consider the linear regression model set up in detail to obtain various possible limit laws for the induced selection differential.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1982 

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References

Bhattacharya, P. K. (1976) An invariance principle in regression analysis. Ann. Statist. 4, 621624.Google Scholar
Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
Chung, K. L. (1974) A Course in Probability Theory, 2nd edn. Academic Press, New York.Google Scholar
De Haan, L. (1970) On Regular Variation and Its Application to the Weak Convergence of Sample Extremes. Mathematical Centre Tracts 32, Amsterdam.Google Scholar
Galambos, J. (1978) The Asymptotic Theory of Extreme Order Statistics. Wiley, New York.Google Scholar
Johnson, N. L. and Kotz, S. (1970) Continuous Univariate Distributions 1. Wiley, New York.Google Scholar
Nagaraja, H. N. (1980) Contributions to the Theory of Selection Differential and to Order Statistics. Unpublished Ph. D. dissertation, Iowa State University.Google Scholar
Nagaraja, H. N. (1982) Record values and extreme value distributions. J. Appl. Prob. 19.Google Scholar
Yang, S. S. (1979) Linear function of concomitants of order statistics with application to nonparametric estimation of regression function. Preprint, Kansas State University, Manhattan.Google Scholar