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It uses a combination of tree and matrix diagramming techniques to do a pair-wise evaluation of items and to narrow down options to the most desired or most effective. Popular applications for the prioritization matrix include return on investment (ROI) or cost–benefit analysis (investment vs. return), time management matrix (urgency vs ...
Simple payoff diagrams of the four types of ladder. In finance, a ladder, also known as a Christmas tree, is a combination of three options of the same type (all calls or all puts) at three different strike prices. [1] A long ladder is used by traders who expect low volatility, while a short ladder is used by traders who expect high volatility.
Attack tree, conceptual diagrams showing how a target might be attacked; Fault tree diagram, diagram used in deductive failure analysis in various industries; Program structure tree, hierarchical diagram that displays the organization of a computer program; Treemapping, a method for displaying hierarchical data using nested figures, usually ...
A tree structure, tree diagram, or tree model is a way of representing the hierarchical nature of a structure in a graphical form. It is named a "tree structure" because the classic representation resembles a tree, although the chart is generally upside down compared to a biological tree, with the "stem" at the top and the "leaves" at the bottom.
An issue tree showing how a company can increase profitability: A profitability tree is an example of an issue tree. It looks at different ways in which a company can increase its profitability. Starting from the key question on the left, it breaks it down between revenues and costs, and break these down into further details.
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 ...
The left tree is the decision tree we obtain from using information gain to split the nodes and the right tree is what we obtain from using the phi function to split the nodes. The resulting tree from using information gain to split the nodes. Now assume the classification results from both trees are given using a confusion matrix.
A given node in a tree diagram is understood as marking a constituent, that is, a constituent is understood as corresponding to a given node and everything that that node exhaustively dominates. Hence the first tree, which shows the constituent structure according to dependency grammar , marks the following words and word combinations as ...