expected value model
31AppleEvent Object Model — The AppleEvent Object Model (AEOM) was a set of protocols built on top of AppleEvents by which applications running under Mac OS could control each other s functions. Applications that implemented some part of the AEOM were called scriptable ,… …
32Stage–gate model — A stage–gate model, also referred to as a phase–gate process, is a project management technique in which an initiative or project (e.g., new product development, process improvement, business change) is divided into stages (or phases) separated… …
33Walter Model — Nickname Hitler s fireman, Frontline Pig Born …
34Overshooting model — The Overshooting Model or Exchange rate overshooting, first developed by economist Rudi Dornbusch, aims to explain why exchange rates have a high variance. A key element of the model is that expectations of exchange rate changes are consistent… …
35Rescorla-Wagner model — The Rescorla Wagner model is a model of classical conditioning in which the animal is theorized to learn from the discrepancy between what is expected to happen and what actually happens. This is a trial level model in which each stimulus is… …
36Fama-French three-factor model — In the portfolio management field, Eugene Fama and Kenneth French developed the highly successful Fama French three factor model to describe market behavior.CAPM uses a single factor, beta, to compare the excess returns of a portfolio with the… …
37P-value — In statistical significance testing, the p value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. One often rejects the null hypothesis when the …
38Diamond coconut model — In Diamond s model, people will only climb trees to pick coconuts if they believe that enough other people are also doing it. The Diamond coconut model is an economic model constructed by the American economist and 2010 Nobel laureate Peter… …
39Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… …
40Comparison of layout engines (Document Object Model) — The following tables compare DOM compatibility and support for a number of layout engines. Please see the individual products articles for further information. This article is not all inclusive or necessarily up to date. Unless otherwise… …
