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The Chebychev–Grübler–Kutzbach criterion determines the number of degrees of freedom of a kinematic chain, that is, a coupling of rigid bodies by means of mechanical constraints. [1] These devices are also called linkages .
Kutzbach was elected a member of the National Academy of Sciences in 2006. [8] He has also received the Roger Revelle Medal of the American Geophysical Union in 2006, [9] the Milankovitch Medal of the European Geophysical Society in 2001, [10] the Humboldt Research Award of the Alexander von Humboldt Foundation of Germany in 1976, the Distinguished Career Achievement Award of the American ...
Bateson's cube evaluates proposed research through three criteria: the degree of animal suffering, the quality of the research, the potential medical benefit. Bateson suggested that research that does not meet these requirements should not be approved or performed, in accordance with the Animals (Scientific Procedures) Act 1986.
This criterion maximizes the discrepancy between two proposed models at the design locations. [10] Other optimality-criteria are concerned with the variance of predictions: G-optimality A popular criterion is G-optimality, which seeks to minimize the maximum entry in the diagonal of the hat matrix X(X'X) −1 X'. This has the effect of ...
Inclusion criteria may include factors such as type and stage of disease, the subject’s previous treatment history, age, sex, race, ethnicity. Exclusion criteria concern properties of the study sample, defining reasons for which patients from the target population are to be excluded from the current study sample. Typical exclusion criteria ...
The PRISMA flow diagram, depicting the flow of information through the different phases of a systematic review. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is an evidence-based minimum set of items aimed at helping scientific authors to report a wide array of systematic reviews and meta-analyses, primarily used to assess the benefits and harms of a health care ...
In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social science research. [1] It is used to test whether measures of a construct are consistent with a researcher's understanding of the nature of that construct (or factor).
In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).