首页> 外文OA文献 >Table 4: Linear mixed effect model of five geographical and socioeconomic variables in which attended school and the place of residence were selected as random effects (a sample of 1,708 males for which all data were available).

【2h】

Table 4: Linear mixed effect model of five geographical and socioeconomic variables in which attended school and the place of residence were selected as random effects (a sample of 1,708 males for which all data were available).

机译：表4：五个地理位置和社会经济变量的线性混合效果模型，其中参加了学校和居住地作为随机效应（所有数据可获得的1,708名男性的样本）。

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。

页面导航

著录项
相似文献
相关主题

著录项

作者

展开▼
作者单位

展开▼
年度 -1
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
专利

1. Joint variable selection for fixed and random effects in linear mixed-effects models. [J] . Bondell HD, Krishna A, Ghosh SK Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2010,第4期

机译：线性混合效应模型中固定效应和随机效应的联合变量选择。
2. LAD variable selection for linear models with randomly censored data [J] . Zhangong Zhou, Rong Jiang, Weimin Qian Metrika . 2013,第2期

机译：具有随机检查数据的线性模型的LAD变量选择
3. LAD variable selection for linear models with randomly censored data [J] . Zhou Z., Jiang R., Qian W. Metrika: International Journal for Theoretical and Applied Statistics . 2013,第2期

机译：具有随机检查数据的线性模型的LAD变量选择
4. MANOVA vs Nonlinear Mixed Effects Modeling: The Comparison of Growth Patterns of Female and Male Quail [C] . Eser Kemal Gürcan International Conference on Advances in Natural and Applied Sciences . 2017

机译：Manova VS非线性混合效果建模：女性和雄性鹌鹑的生长模式比较
5. Essays on Nonparametric Identification: Identification of Dependent Multidimensional Unobserved Variables in a System of Linear Equations Identification and Estimation for Regressions with Errors in All Variables Identification of Nonparametrically Distributed Random Coefficients in Linear Panel Data Models. [D] . Ben-Moshe, Dan. 2012

机译：关于非参数识别的论文：线性方程组中相关多维多维观测变量的识别以及线性面板数据模型中非参数分布随机系数的所有变量中所有变量均具有误差的回归估计。
6. Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models [O] . Howard D. Bondell, Arun Krishna, Sujit K. Ghosh -1

机译：线性混合效应模型中的固定和随机效应的联合变量选择
7. Table 5: Differences in mean male height (cm) across eight counties (above the diagonal) and confidence intervals (below the diagonal), according to a mixed effect model using the county of residence, university education of parents, urban/rural residence, school type and age categories as fixed effects, and attended school and the place of residence as random effects. [O] . -1

机译：表5：根据使用父母县，大学教育的父母，城乡住宅，城市/乡村住宅，父母，城乡居住地，围绕八县（对角线上方）和置信区间（低于对角线）和置信区间（低于对角线）的差异。学校类型和年龄类别作为固定效果，并参加学校和居住地作为随机效应。

Table 4: Linear mixed effect model of five geographical and socioeconomic variables in which attended school and the place of residence were selected as random effects (a sample of 1,708 males for which all data were available).

著录项

相似文献

相关主题

期刊订阅