A scalar model output Y is assumed to depend deterministically on a set of stochastically independent input vectors of different dimensions. The composition of the variance of Y is considered; variance components of particular relevance for uncertainty analysis are identified. Several analysis of va
✦ LIBER ✦
Automating the analysis of variance of orthogonal designs
✍ Scribed by Großmann, Heiko
- Book ID
- 122457801
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 953 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0167-9473
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## Abstract Although it is known that the maximum number of variables in two amicable orthogonal designs of order 2^__n__^__p__, where __p__ is an odd integer, never exceeds 2__n__+2, not much is known about the existence of amicable orthogonal designs lacking zero entries that have 2__n__+2 variab
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