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Intervals for heritability in nested designs

机译:嵌套设计中的遗传力间隔

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摘要

In animal breeding, a more efficient design is the nested design. The purpose of the paper is to consider interval estimation for heritability in nested designs. We propose a novel approach for the interval estimation using the concepts of fiducial inference. A simulation study is conducted to investigate the coverage probabilities of the resulted intervals to the Modified Large Sample (MLS) intervals by Burdick and Graybill. Relative to the MLS approach, the fiducial approach is closer to the nominal coverage for a two-sided interval. The fact shows that the fiducial approach is a suitable candidate for making inference on heritability.
机译:在动物育种中,更有效的设计是嵌套设计。本文的目的是考虑用于嵌套设计的遗传力的区间估计。我们提出了一种使用基准推理概念进行区间估计的新方法。进行了模拟研究,以研究Burdick和Graybill得出的结果区间对修改后的大样本(MLS)区间的覆盖概率。相对于MLS方法,基准方法在两侧间隔内更接近标称覆盖率。事实表明,基准方法是推断遗传力的合适选择。

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