It has been shown in this paper that the conditional variance of $X_{r+1\colon n}^{p}$ given $X_{r\colon n}=x$, is independent of x if and only if the distribution is ...
We propose a new combined semiparametric estimator, which incorporates the parametric and nonparametric estimators of the conditional variance in a multiplicative way. We derive the asymptotic bias, ...
In the prediction of genetic values and quantitative trait loci (QTLs) mapping via the mixed model method incorporating marker information in animal populations, it is important to model the genetic ...
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