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2. Causal map - Wikipedia

   en.wikipedia.org/wiki/Causal_map

   In software testing, a cause–effect graph is a directed graph that maps a set of causes to a set of effects. The causes may be thought of as the input to the program, and the effects may be thought of as the output. Usually the graph shows the nodes representing the causes on the left side and the nodes representing the effects on the right side.

3. Ishikawa diagram - Wikipedia

   en.wikipedia.org/wiki/Ishikawa_diagram

   Sample Ishikawa diagram shows the causes contributing to problem. The defect, or the problem to be solved, [1] is shown as the fish's head, facing to the right, with the causes extending to the left as fishbones; the ribs branch off the backbone for major causes, with sub-branches for root-causes, to as many levels as required.

4. Causal graph - Wikipedia

   en.wikipedia.org/wiki/Causal_graph

   Figure 1 is a causal graph that represents this model specification. Each variable in the model has a corresponding node or vertex in the graph. Additionally, for each equation, arrows are drawn from the independent variables to the dependent variables. These arrows reflect the direction of causation.

5. Causal notation - Wikipedia

   en.wikipedia.org/wiki/Causal_notation

   There exist several forms of causal diagrams including Ishikawa diagrams, directed acyclic graphs, causal loop diagrams, [10] and why-because graphs (WBGs). The image below shows a partial why-because graph used to analyze the capsizing of the Herald of Free Enterprise. Partial Why–because graph of the capsizing of the Herald of Free Enterprise

6. Current reality tree (theory of constraints) - Wikipedia

   en.wikipedia.org/wiki/Current_reality_tree...

   The CRT depicts a chain of cause-and-effect reasoning (if, and, then) in graphical form, where ellipses or circles represent an "and". The graphic is constructed by: attempting to link any two UDEs using cause-and-effect reasoning.

7. Bow-tie diagram - Wikipedia

   en.wikipedia.org/wiki/Bow-tie_diagram

   A bow-tie diagram can be considered as a simplified, linear, and qualitative representation of a fault tree (analyzing the cause of an event) combined with an event tree (analyzing the consequences), [2] although it can maintain the quantitative, probabilistic aspects of the fault and event tree when it is used in the context of quantified risk ...

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   mail.aol.com

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9. Causal analysis - Wikipedia

   en.wikipedia.org/wiki/Causal_analysis

   Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. [1] Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the ...