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首页> 外文会议>International symposium on spatial accuracy assessment in natural resources and environmental science >Using nonprobability samples in design-based estimation of spatial means of soil properties.
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Using nonprobability samples in design-based estimation of spatial means of soil properties.

机译：在基于设计的土壤性质的基于设计的基于设计的估计中使用非可移植性样本。

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To estimate spatial means of soil properties of a region from data collected by convenience or purposive sampling discussions on the validity of the results can be avoided by collecting additional data by probability sampling. The nonprobability and probability sample can be combined by interpolating the data at the nonprobability sample to the probability sample points, and to use these interpolated values as an auxiliary variable in the design-based regression estimator. The regression estimator is approximately unbiased even if the measurements at the nonprobability sample are severely biased. The gain in precision compared to the π estimator that uses the probability sample only, depends on the correlation between the target variable and interpolated auxiliary variable at the probability sample points. This correlation on his turn is partly determined by the quality of the interpolation. Factors that govern this quality are the density of the nonprobability sample, its configuration and the interpolation method.
机译：为了估计通过方便或有目的采样讨论收集的地区的土壤性质的空间性能，可以通过概率采样收集额外数据来避免对结果的有效性的数据。可以通过将非可变性样本的数据插入概率采样点来组合非可移植性和概率样本，并在基于设计的回归估计器中使用这些内插值作为辅助变量。即使非可变性样本的测量严重偏置，回归估计器也大致无偏见。与使用概率样本的π估计器相比，精度的增益取决于概率采样点处的目标变量和内插辅助变量之间的相关性。轮流上的这种相关性部分地由插值的质量决定。管理该质量的因素是不可能性样本的密度，其配置和插值方法。

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