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Value Measurement in Statistically Uncertain Conditions

机译:统计不确定条件下的价值衡量

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A mathematical model for measuring values has been proposed taking into account the uncertainty of statistical conditions of forming the measured value and its estimate. This model is based on presenting measured value and its estimate as hyper-random values. The point and interval methods of estimating hyper-random values have been developed. The notions of biased, consistent and efficient estimates were extended to the case of hyper-random estimates. The potential accuracy of measurements was investigated. It was shown that under the conditions of statistically uncertain conditions the potential accuracy of value measurement was limited and determined by the parameters of estimate bias.
机译:考虑到形成测量值及其估计的统计条件的不确定性,提出了一种用于测量值的数学模型。该模型基于呈现测量值及其估计值作为超随机值。已经开发了估计超随机值的点和间隔方法。有偏见的,一致的和有效的估计的概念被扩展到超随机估计的情况。研究了潜在的测量精度。结果表明,在统计学上不确定的条件下,价值估计的潜在准确性受到限制,并由估计偏差的参数确定。

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