characteristic
发表于 2025-3-30 11:49:01
Henrik Simojokithod. It turns out that the numerical problems are even more severe for beta distributed random variables, which are bounded from both sides, typically on (0, 1). We illustrate these subtleties and provide extensions from Knoth (.) to achieve high accuracy in an efficient way.
不能逃避
发表于 2025-3-30 15:37:26
Arniika Kuusisto,Liam Francis Gearon,Saija Benjamin,Pia-Maria Koirikivistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control..978-3-030-67858-6978-3-030-67856-2Series ISSN 2698-2706 Series E-ISSN 2698-2714
lattice
发表于 2025-3-30 20:12:34
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向外
发表于 2025-3-30 23:14:06
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nocturnal
发表于 2025-3-31 02:40:47
Yaşar Sarıkayad the standard deviation (Procedure I),or by matching of the median, the mean and the mean of the log (of the original monitoring statistic; Procedure II). Given the low mean-squared-errors (MSEs) associated with sample estimates of these parameters, the new transformation may be used to derive cont
legacy
发表于 2025-3-31 05:41:01
Michael Kramermprovement in in-control robustness, compared to using . = 1. We also show that, unlike the double-exponential CUSUM chart, for . = 1, the standard CUSUM chart can be designed to be highly robust to non-normality and very effective at detecting shifts of all sizes, even for highly skewed and extreme
Misnomer
发表于 2025-3-31 09:49:43
eptance number is particularly useful for short-run food manufacturing processes involving a measurable quality characteristic such as the percentage sugar or fat content. Attribute method of inspection is desirable for small sample sizes because of the difficulty in identifying the underlying distr
解冻
发表于 2025-3-31 15:06:37
Ednan Aslan,Marcia Hermansenem, a congenital malformation, or an industrial accident. The most common approaches for monitoring such processes involve using an exponential distribution to model the time between the events or using a Bernoulli distribution to model whether or not each opportunity for the event results in its oc