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A unified method for constructing expectation tolerance intervals

Christopher Withers and Saralees Nadarajah ()

Statistical Papers, 2014, vol. 55, issue 4, 965 pages

Abstract: Given a random sample of size $$n$$ n with mean $$\overline{X} $$ X ¯ and standard deviation $$s$$ s from a symmetric distribution $$F(x; \mu , \sigma )=F_{0} (( x- \mu ) / \sigma ) $$ F ( x ; μ , σ ) = F 0 ( ( x - μ ) / σ ) with $$F_0$$ F 0 known, and $$X \sim F(x;\; \mu , \sigma )$$ X ∼ F ( x ; μ , σ ) independent of the sample, we show how to construct an expansion $$ a_n^{\prime }=\sum _{i=0}^\infty \ c_i \ n^{-i} $$ a n ′ = ∑ i = 0 ∞ c i n - i such that $$\overline{X} - s a_n^{\prime } > X > \overline{X} + s a_n^{\prime } $$ X ¯ - s a n ′ > X > X ¯ + s a n ′ with a given probability $$\beta $$ β . The practical value of this result is illustrated by simulation and using a real data set. Copyright Springer-Verlag Berlin Heidelberg 2014

Keywords: Expectation tolerance intervals; Location-scale families; Simulation (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s00362-013-0543-9

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