Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass
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DOI: 10.1038/s41598-017-03232-8
Abstract: Prior knowledge on heading date enables the selection of parents of synthetic cultivars that are well matched with respect to time of heading, which is essential to ensure plants put together will cross pollinate. Heading… read more here.
Keywords: importance measures; using variable; predict heading; variable importance ... See more keywords
Throughput-based importance measures of multistate production systems
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DOI: 10.1080/00207543.2018.1442947
Abstract: Many production systems are multistate, with a finite number of performance levels that are between perfect functioning and complete failure. Importance measures are often used in the maintenance planning of complicated systems, to observe the… read more here.
Keywords: importance measures; system; production; importance ... See more keywords
On Birnbaum type joint importance measures for multistate reliability systems
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DOI: 10.1080/03610926.2021.1961000
Abstract: Importance and joint importance measures in reliability engineering are used to identify the weak areas of a system and signify the roles of components in either causing or contributing to proper f... read more here.
Keywords: importance measures; importance; joint importance; reliability ... See more keywords
Reliability and Importance Measures for Combined m-Consecutive-k-Out-of-n: F and Consecutive-kb-Out-of-n: F Systems with Non-Homogeneous Markov-Dependent Components
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Reliability, Quality and Safety Engineering"
DOI: 10.1142/s0218539318500225
Abstract: A Combined m-Consecutive-k-out-of-n and Consecutive-kb-out-of-n: F System consists of n components ordered in a line such that the system fails iff there exist at least kb consecutive failed compon... read more here.
Keywords: importance measures; measures combined; reliability importance; consecutive consecutive ... See more keywords