Optimal Sequential Production Under Uncertainty
Optimal Sequential Production Under Uncertainty
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In our eReader you can find the full English version of the book. Read Optimal Sequential Production Under Uncertainty Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Optimal Sequential Production Under Uncertainty
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, and thus Z. Cannot be a variate J J distributed precisely according to the two-parameter Lognormal distribution indicated above. However, since the constant term (a, = R. -/R ) is known, the three-parameter Lognormal distribution described in reference [1] may be considered. In this distribution the quantity (Z, - a. ) is distributed as two-parameter Lognormal, with the third parameter merely shifting the distribution upward so that the lower bound of the distribution of Z is a. Rather than z...ero. Intuitively, the reason for the excellent fit of the two- parameter Lognormal distribution to the apparel forecasting data cited in [6] is due to the fact that the dispersion of the distribution of Z was not excessive relative to the lower bound. For example, in the J apparel data the ratio (R^ i /^) "^^ approximately . 90, but the dispersion in Z-j ^ was consistent with . 90 being an approximate lower bound. In other words, because of the limited dispersion of Z. , it turned out that the lower bound was very close to the zeroth percentile of the distribution in its two- parameter form.
What to read after Optimal Sequential Production Under Uncertainty?
You can find similar books in the "Read Also" column, or choose other free books by Warren H Hausman to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
, and thus Z. Cannot be a variate J J distributed precisely according to the two-parameter Lognormal distribution indicated above. However, since the constant term (a, = R. -/R ) is known, the three-parameter Lognormal distribution described in reference [1] may be considered. In this distribution the quantity (Z, - a. ) is distributed as two-parameter Lognormal, with the third parameter merely shifting the distribution upward so that the lower bound of the distribution of Z is a. Rather than z...ero. Intuitively, the reason for the excellent fit of the two- parameter Lognormal distribution to the apparel forecasting data cited in [6] is due to the fact that the dispersion of the distribution of Z was not excessive relative to the lower bound. For example, in the J apparel data the ratio (R^ i /^) "^^ approximately . 90, but the dispersion in Z-j ^ was consistent with . 90 being an approximate lower bound. In other words, because of the limited dispersion of Z. , it turned out that the lower bound was very close to the zeroth percentile of the distribution in its two- parameter form.
What to read after Optimal Sequential Production Under Uncertainty?
You can find similar books in the "Read Also" column, or choose other free books by Warren H Hausman to read onlineMoreLess
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