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  5. Choosing the best estimates of measurand on the example of trapezoidal distributions

Choosing the best estimates of measurand on the example of trapezoidal distributions

Z.L. Warsza, M.V.Galovska
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This article reviewed the non-traditional estimators of the measurand, received from empirical distributions. First of all it is important for distributions with associated with the theoretical models differed from the normal distribution. One-component and multi-component estimators for family of trapezoidal distributions are considered. As the best estimator of the distribution center for the whole family can be used two-component estimator, which determined as a linear function of sample mean and sample midrange. Proposed new estimator expand the list of measurand estimators and ways of uncertainty estimation of the type A.
Keywords: measurement result, uncertainty estimation of type A