scholarly journals A canonical correlations approach to multiscale stochastic realization

2001 ◽  
Vol 46 (10) ◽  
pp. 1514-1528 ◽  
Author(s):  
W.W. Irving ◽  
A.S. Willsky
2014 ◽  
Vol 66 (1) ◽  
pp. 3-15
Author(s):  
Sylwia Ciaglo-Androsiuk

AbstractRelation between morphological traits of the root system and yield related traits is an important issue concerning efforts aiming at improving of ideotype of cultivated plants species, including pea. In this paper, to analyse the dependency between traits describing the root system morphology and yield potential, Person’s andSpearman's_correlations as well as canonical correlations were used.Root system was analyzed in 14 and 21 day-old seedlings growing in blotting-paper cylinders. Yield potential of pea was analysed in a field experiment. Results of Person’s and Spearman's_correlations revealed that number of lateral roots and lateral roots density were correlated witch yield related traits. Correlation between root length and shoot length was observed only for 14 day-old seedlings. The result of canonical correlations revealed that number of lateral roots and lateral roots density had the largest effect on yield related traits. This work highlights, that in order to improve the yield of pea it might become necessary to understand genetic determination of morphological traits of the root system, especially number of lateral roots.


1974 ◽  
Vol 3 (2) ◽  
Author(s):  
Franz Urban Pappi ◽  
Edward O. Laumann

AbstractSocial value orientations are introduced as a central set of variables for theories of voting behavior. Voting behavior is used as an example for a class of models which can demonstrate the linkage between social structure and individual behavior. Social value orientations are analytically defined and examined in relationship with related and complementary concepts like interests. Theoretically based on the AGIL paradigm, a comprehensive sample of indicators of social values is drawn from appropriate attitude scales. The structure of value orientations is empirically delineated by a multidimensional scaling procedure using the correlations between the indicators as input. Knowing this structure it is possible to construct a parsimonious set of eight scales of value orientations. Canonical correlations and discriminant analysis are the procedures used to relate this set with social structural antecedents and political attitudes and behavior as presumed consequences. The empirical analysis is based on data from the Jülich community study.


2021 ◽  
Vol 8 ◽  
pp. 1-17
Author(s):  
Ivan Carvalho ◽  
José Antonio Gonzalez da Silva ◽  
Murilo Vieira Loro ◽  
Marlon Vinícius Rosa Sarturi ◽  
Danieli Jacoboski Hutra ◽  
...  

The increase in the world population, the need to increase food production, both in quantity and quality, becomes increasingly prominent. The objective of this work was to identify the canonical correlations between yield components, morphological characters, micronutrients, bioactive compounds and amino acids in corn. The experimental design used was a randomized block containing 11 treatments arranged in three replications. The treatments consisted of 11 Top Crosses hybrid genotypes, these being made through crosses directed between a narrow genetic base tester hybrid for specific combining ability with 11 S5 inbred lines. It is inferred that groups considered yield components, secondary traits, bioactive compounds, micronutrients and amino acids are dependent. Promising characters are identified for the corn breeding for high yields, nutritional and energetic quality of corn grains. The indirect selection of grains with additions in essential amino acids can be directed to plants with superiority in height, mass and width of grains, phenols, flavonoids, soluble solids and zinc content.


eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Sema K Sgaier ◽  
Maria Eletskaya ◽  
Elisabeth Engl ◽  
Owen Mugurungi ◽  
Bushimbwa Tambatamba ◽  
...  

Public health programs are starting to recognize the need to move beyond a one-size-fits-all approach in demand generation, and instead tailor interventions to the heterogeneity underlying human decision making. Currently, however, there is a lack of methods to enable such targeting. We describe a novel hybrid behavioral-psychographic segmentation approach to segment stakeholders on potential barriers to a target behavior. We then apply the method in a case study of demand generation for voluntary medical male circumcision (VMMC) among 15–29 year-old males in Zambia and Zimbabwe. Canonical correlations and hierarchical clustering techniques were applied on representative samples of men in each country who were differentiated by their underlying reasons for their propensity to get circumcised. We characterized six distinct segments of men in Zimbabwe, and seven segments in Zambia, according to their needs, perceptions, attitudes and behaviors towards VMMC, thus highlighting distinct reasons for a failure to engage in the desired behavior.


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