首页> 美国卫生研究院文献>Annales de G n ;tique et de S lection Animale >Estimation of non-linear growth models by linearization: a simulation study using a Gompertz function
【2h】

Estimation of non-linear growth models by linearization: a simulation study using a Gompertz function

机译:通过线性化估计非线性增长模型:使用Gompertz函数的模拟研究

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A method based on Taylor series expansion for estimation of location parameters and variance components of non-linear mixed effects models was considered. An attractive property of the method is the opportunity for an easily implemented algorithm. Estimation of non-linear mixed effects models can be done by common methods for linear mixed effects models, and thus existing programs can be used after small modifications. The applicability of this algorithm in animal breeding was studied with simulation using a Gompertz function growth model in pigs. Two growth data sets were analyzed: a full set containing observations from the entire growing period, and a truncated time trajectory set containing animals slaughtered prematurely, which is common in pig breeding. The results from the 50 simulation replicates with full data set indicate that the linearization approach was capable of estimating the original parameters satisfactorily. However, estimation of the parameters related to adult weight becomes unstable in the case of a truncated data set.
机译:考虑了一种基于泰勒级数展开的估计非线性混合效应模型的位置参数和方差分量的方法。该方法的一个吸引人的特性是容易实现算法的机会。非线性混合效果模型的估计可以通过线性混合效果模型的常用方法来完成,因此,可以在进行少量修改后使用现有程序。通过使用Gompertz函数生长模型对猪进行仿真,研究了该算法在动物育种中的适用性。分析了两个生长数据集:完整的数据集(包含整个生长期的观察结果)和截断的时间轨迹集(其中包含过早宰杀的动物),这在猪育种中很常见。来自具有完整数据集的50个模拟重复项的结果表明,线性化方法能够令人满意地估计原始参数。但是,在数据集被截断的情况下,与成人体重有关的参数的估计变得不稳定。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号