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Hierarchical decision process. For group decision-making, the hierarchical decision process ( HDP) refines the classical analytic hierarchy process (AHP) a step further in eliciting and evaluating subjective judgements. These improvements, proposed initially by Dr. Jang Ra (a student of Dr. Thomas L. Saaty who developed and refined AHP) include ...
Evidence-based practices. A hierarchy of evidence, comprising levels of evidence ( LOEs ), that is, evidence levels ( ELs ), is a heuristic used to rank the relative strength of results obtained from experimental research, especially medical research. There is broad agreement on the relative strength of large-scale, epidemiological studies.
Requisite organization ( RO) is a term and methodology developed by Elliott Jaques and Kathryn Cason as a result of the research in stratified systems theory, general theory of bureaucracy, work complexity and human capability over 60 years. Requisite organization is the system of business organization that aims for effective managerial ...
PERA Reference model: Decision-making and control hierarchy, 1992. Purdue Enterprise Reference Architecture (PERA), or the Purdue model, is a 1990s reference model for enterprise architecture, developed by Theodore J. Williams and members of the Industry-Purdue University Consortium for Computer Integrated Manufacturing.
Memory hierarchy affects performance in computer architectural design, algorithm predictions, and lower level programming constructs involving locality of reference. Designing for high performance requires considering the restrictions of the memory hierarchy, i.e. the size and capabilities of each component.
Hierarchical organization. A hierarchical organization or hierarchical organisation (see spelling differences) is an organizational structure where every entity in the organization, except one, is subordinate to a single other entity. [1] This arrangement is a form of hierarchy. In an organization, this hierarchy usually consists of a singular ...
Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution using the Bayesian method. [1] The sub-models combine to form the hierarchical model, and Bayes' theorem is used to integrate them with the observed data and account for all the ...
Structural equation modeling ( SEM) is a diverse set of methods used by scientists doing both observational and experimental research. SEM is used mostly in the social and behavioral sciences but it is also used in epidemiology, [2] business, [3] and other fields.