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首页> 外文期刊>International Journal of Statistics and Probability >Integration of Nonprobability and Probability Samples via Survey Weights
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Integration of Nonprobability and Probability Samples via Survey Weights

机译：通过调查权重集成非可移植性和概率样本

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Probability sample encounters the problems of increasing cost and nonresponse. The cost has rapidly been increasing in executing a large probability sample survey, and, for some surveys, response rate can be below the 10 percent level. Therefore, statisticians seek some alternative methods. One of them is to use a large nonprobability sample (村沛 ) supplemented by a small probability sample (漕2 ). Both samples are taken from the same population and they include common covariates, and a third sample (漕3 ) is created by combining these two samples; 漕1 can be biased and 漕2 may have large sample variance. These two problems are reduced by survey weights and combining the two samples. Although 漕2 is a small sample, it provides good properties of unbiasedness in estimation and of survey weights. With these known weights, we obtain adjusted sample weights (ASW), and create a sample model from a finite population model. We fit the sample model to obtain its parameters and generate values from the population model. Similarly, we repeat these processes for other two samples, 漕1 and 漕3 and for different statistical methods. We show reduced biases of the finite population means and reduced variances.as the combined sample size becomes large. We analyze sample data to show the reduction of these two errors.
机译：概率样本遇到增加成本和非响应的问题。在执行大概率样本调查方面，成本迅速增加，并且对于一些调查，响应率可以低于10％的水平。因此，统计员寻求一些替代方法。其中一个是使用由小概率样品（χ漕2）补充的大型非可逆性样品（村）。两种样品都取自相同的群体，并且它们包括共同的协变量，通过组合这两个样品来创建第三个样品（χ漕3）;萱✍1可以偏置，漕2可能具有大的样本方差。通过调查权重减少了这两个问题并结合了两个样本。虽然漕2是一个小样本，但它在估计和调查重量中提供了良好的无偏见性。利用这些已知权重，我们获得调整后的样品权重（ASW），并从有限群体模型创建样本模型。我们适合样本模型以获得其参数并从人口模型生成值。同样，我们对其他两个样品重复这些过程，1和3以及不同的统计方法。我们显示有限群体手段的减少偏差，减少了差异。组合的样本大小变大。我们分析样本数据以显示这两个错误的减少。

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