Generalized Linear Hypothesis: A Unified Approach to Teaching Experimental Design and Analysis

1971 ◽  
Author(s):  
Clifford E. Lunneborg
1976 ◽  
Vol 4 (4) ◽  
pp. 281-298 ◽  
Author(s):  
Robert T. Grauer

Recent advances in, and acceptance of, computer simulation methodology make direct experimentation possible for the social scientist. This technique can be used to supplement his traditional tools of experimental design, namely regression analysis and factorial designs. In this paper a unified approach to model building is synthesized from these disparate techniques. The capabilities of each are discussed and then combined into a modeling philosophy which can be applied to a variety of educational problems.


1978 ◽  
Author(s):  
R. I. Lewis

Turbomachinery fluid mechanics theory has become so advanced in response to the demands of modern high technology machinery that practicing engineers and academics are presented with conflicting requirements. Engineering career progression requires increasing generalism, especially within the management structure of large companies. Advanced engineering produces, conversely, demands for skilled specialist from among the most able engineers. The conflict is reflected in first and second degree courses which primarily serve the broad training needs of engineers. Final year specialist student options and masters degree courses offer one solution to the necessary compromise needed, coupled to doctoral programs. Typical fluid dynamic topics are presented which commend the use of classical fluid dynamics as optimal for educational purposes. A new unified approach to performance analysis, which links dimensional analysis, velocity triangle selection, duty coefficient selection, and aerodynamics, is presented as the key to a coordinated approach to teaching and codification of this field of study. Sample syllabi and examination question are given.


1995 ◽  
Vol 23 (2) ◽  
pp. 145-156 ◽  
Author(s):  
Steven B. Shooter ◽  
Robert L. West ◽  
Charles F. Reinholtz

While graphical techniques for synthesizing cam profiles are useful for teaching the fundamentals of cam design, they can be laborious when considering the iterative nature of design. Analytical techniques are better suited to take advantage of the powerful computation tools so readily available. However, the techniques for deriving the governing equations can be cumbersome and difficult to follow for students because many of the analytical formulations require the knowledge of a ‘trick’ specific to each problem. Presented here is a procedure that uses two simple concepts of conjugate geometry to derive the governing vector equation for the cam profile. The first concept is that of forming a closed vector loop within the cam and follower. The second is the principle that the relative velocity between the cam and follower is purely along the common tangent of the two surfaces at the point of contact. The authors believe that this approach is more intuitive and easier to learn. The same approach can be used for any cam-and-follower system where the surface of the follower can be described parametrically.


2009 ◽  
Vol 84 (12) ◽  
pp. 1788-1795 ◽  
Author(s):  
Donna M. Daniel ◽  
Donald E. Casey ◽  
Jeffrey L. Levine ◽  
Susan T. Kaye ◽  
Raquel B. Dardik ◽  
...  

2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.


2019 ◽  
Vol 42 ◽  
Author(s):  
J. Alfredo Blakeley-Ruiz ◽  
Carlee S. McClintock ◽  
Ralph Lydic ◽  
Helen A. Baghdoyan ◽  
James J. Choo ◽  
...  

Abstract The Hooks et al. review of microbiota-gut-brain (MGB) literature provides a constructive criticism of the general approaches encompassing MGB research. This commentary extends their review by: (a) highlighting capabilities of advanced systems-biology “-omics” techniques for microbiome research and (b) recommending that combining these high-resolution techniques with intervention-based experimental design may be the path forward for future MGB research.


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