explain estimation of error ?
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Explanation:
The difference between an estimated value and the true of a parameter or , sometimes , of a value to be predicted. Context: it is immediately associated with accuracy since accuracy is used to mean "the inverse of the total error, including bias and variance" (Kish L, "survey sampling".)
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Observational error (or measurement error) is the difference between a measured value of a quantity and its true value. In statistics, an error is not a "mistake". Variability is an inherent part of the results of measurements and of the measurement process.
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