Multidimensional Statistical Tests for Imprecise Data
Multidimensional Statistical Tests for Imprecise Data
复制标题
不精确数据的多维统计检验
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
I. Neumann
中科院分区：
文献类型：
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作者：
H. Kutterer;I. Neumann
大地测量数据的总不确定性预算通常包括两种主要的不确定性：反映观测和数据处理期间无法控制的影响的随机变化，以及由于数据和模型之间剩余的系统误差而造成的不精确性。虽然随机变异性可以通过随机方法处理，但使用模糊理论来模拟不精确性更合适。因此，有必要以适当的方式扩展大地测量数据分析的经典技术，如参数估计和统计假设检验，以便考虑到不精确性。
The total uncertainty budget of geodetic data usually comprises two main types of uncertainty: random variability which reflects uncontrollable effects during observation and data processing, and imprecision which is due to remaining systematic errors between data and model. Whereas random variability can be treated by means of stochastics, it is more adequate to model imprecision using Fuzzy-theory. Hence, it is necessary to extend the classical techniques of geodetic data analysis such as parameter estimation and statistical hypothesis testing in a suitable way in order to take imprecision into account.