Abstract
A program is developed for solving the problem of making an interval estimation of the parameters of a distribution from a single sample of a random quantity, based on a statistical modeling method. The results of a solution of the problem for certain symmetric and asymmetric distributions are presented. The average error in estimating the confidence intervals and their limits is 4–15% in the range of values of the confidence level of 0.8 ≤ P ≤ 0.998 for a sample volume of N = 500–1000.
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Labutin, S.A., Pugin, M.V. Interval Estimation of the Parameters of a Distribution from a Sample of a Random Quantity. Measurement Techniques 44, 126–134 (2001). https://doi.org/10.1023/A:1010901005688
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DOI: https://doi.org/10.1023/A:1010901005688