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In economics a trade-off is expressed in terms of the opportunity cost of a particular choice, which is the loss of the most preferred alternative given up. [2] A tradeoff, then, involves a sacrifice that must be made to obtain a certain product, service, or experience, rather than others that could be made or obtained using the same required resources.
A trade study or trade-off study, also known as a figure of merit analysis or a factor of merit analysis, is the activity of a multidisciplinary team to identify the most balanced technical solutions among a set of proposed viable solutions (FAA 2006).
This analysis can be converted to risk themes and their impacts whereupon the process can be repeated. With every analysis cycle, the analysis process proceeds from the more general to the more specific, examining the questions that have been discovered in the previous cycle, until the architecture has been fine-tuned and the risk themes have ...
The "tradeoff" in the Williamson model involves a gain in producers' (firms') surplus and a loss in consumers' surplus. Thus, in focusing the analysis on total surplus, it neglects distributional issues and treats changes in both consumers' and producers' welfare symmetrically.
The term, Tradespace, is a combination of the words "trade-off" and "playspace", where "trade-off" indicates the method of traversing the Tradespace in search of the optimal boundary space (e.g., trading off a cost in one cost center (variant A) for a cost in another cost center (variant B)).
SIMALTO – SImultaneous Multi-Attribute Trade Off – is a survey based statistical technique used in market research that helps determine how people prioritise and value alternative product and/or service options of the attributes that make up individual products or services.
The trade-off theory of capital structure is the idea that a company chooses how much debt finance and how much equity finance to use by balancing the costs and benefits. The classical version of the hypothesis goes back to Kraus and Litzenberger [ 1 ] who considered a balance between the dead-weight costs of bankruptcy and the tax saving ...
In statistics and machine learning, the bias–variance tradeoff describes the relationship between a model's complexity, the accuracy of its predictions, and how well it can make predictions on previously unseen data that were not used to train the model. In general, as we increase the number of tunable parameters in a model, it becomes more ...