Application of the simultaneous least squares-probit Nelson-Olson covariance estimator for stratified surveys

D.M. Lambert; S.H. Cho; S.Jung

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Application of the simultaneous least squares-probit Nelson-Olson covariance estimator for stratified surveys

机译：同时最小二乘概率概率尼尔森-奥尔森协方差估计器在分层调查中的应用

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摘要

The Nelson-Olsen covariance estimator of the simultaneous least squares-probit model is adjusted to accommodate probability based stratified surveys. A simultaneous model of body mass and the propensity to exercise provides an empirical example using stratified survey data.

机译：调整同时最小二乘-概率模型的Nelson-Olsen协方差估计量，以适应基于概率的分层调查。体重和运动倾向的同时模型提供了使用分层调查数据的经验示例。

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来源
《Economics letters》 |2012年第3期|p.519-522|共4页
作者
D.M. Lambert; S.H. Cho; S.Jung;
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作者单位

Department of Agricultural Economics, The University of Tennessee, 2621 Morgan Circle, 302 Morgan Hall, Knoxville, TN 37996-4511, United States;

Department of Agricultural and Resource Economics, University of Tennessee, United States;

Department of Agricultural and Resource Economics, University of Tennessee, United States,Department of Applied Economics at the University of Minnesota;

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正文语种 eng
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关键词
complex stratified surveys; covariance estimation; nelson-olsen; simultaneous least squares probit;

机译：复杂的分层调查;协方差估计;纳尔逊·奥尔森同时最小二乘概率;

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Application of the simultaneous least squares-probit Nelson-Olson covariance estimator for stratified surveys

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