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In fact, methods from matrix and group theory which have been successfully applied in linear regression design can also be utilized here to construct various isotropic DODs.
In trial I, groups (6 fish each) were fed diets for 42 weeks (body mass 142 ± 1 to 1463 ± 83 g) (mean ± S.D ., containing graded levels of rapeseed oil substituting for fish oil using a linear regression design.
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So the problem of finding isotropic DODs resembles that of finding weakly invariant linear regression designs.
The basic structure of algorithms for numerical computation of optimal approximate linear regression designs is briefly summarized.
We therefore applied two linear regression designs to our data, each of which was optimized for a specific purpose.
It has been argued previously that multiple linear regression designs in combination with random effects group statistics optimally account for appropriate sources of between-subject variance (Lorch & Myers, 1990).
Multilevel analysis is a modified form of multiple linear regression designed to deal with data with a hierarchical clustering structure and has been extensively used in analysis of personal network data (e.g., Gierveld and Perlman 2006; van Duijn et al. 1999; Wellman and Frank 2001).
Statistical analysis methodologies including factor analysis, linear regression, nested design, and chi-square test are utilized in this study.
Audiovisual content uses linear regression to the design of intelligent systems.
Testing procedure for testing a change in a linear regression with equidistant design is considered.
Linear regression filter is designed to assimilate measurements similar to the ANFIS.
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