expected value model
21Autoregressive moving average model — In statistics, autoregressive moving average (ARMA) models, sometimes called Box Jenkins models after the iterative Box Jenkins methodology usually used to estimate them, are typically applied to time series data.Given a time series of data X t …
22Bayesian model comparison — A common problem in statistical inference is to use data to decide between two or more competing models. Frequentist statistics uses hypothesis tests for this purpose. There are several Bayesian approaches. One approach is through Bayes… …
23Errors-in-variables model — In statistics, an error in variables model is a statistical model which is similar to a regression model but where the independent variables (or explanatory variables) are observed with error. A full statistical model includes components… …
24Generalized additive model — In statistics, the generalized additive model (or GAM) is a statistical model developed by Trevor Hastie and Rob Tibshirani for blending properties of generalized linear models with additive models.The model specifies a distribution (such as a… …
25Stimulus-response model — The stimulus response model describes a statistical unit as making a quantitative response to a quantitative stimulus administered by the researcher. The object of this kind of research is to establish a mathematical function that describes the… …
26Capital asset pricing model — In finance, the Capital Asset Pricing Model (CAPM) is used to determine a theoretically appropriate required rate of return of an asset, if that asset is to be added to an already well diversified portfolio, given that asset s non diversifiable… …
27T-Model — The T Model is a formula that states the returns earned by holders of a company s stock in terms of accounting variables obtainable from its financial statements [ Estep, Preston W., A New Method For Valuing Common Stocks , Financial Analysts… …
28Ising model — The Ising model, named after the physicist Ernst Ising, is a mathematical model in statistical mechanics. It has since been used to model diverse phenomena in which bits of information, interacting in pairs, produce collectiveeffects.Definition… …
29Relational model — The relational model for database management is a database model based on first order predicate logic, first formulated and proposed in 1969 by Edgar Codd. [ Derivability, Redundancy, and Consistency of Relations Stored in Large Data Banks , E.F …
30Gordon model — The Gordon growth model is a variant of the discounted cash flow model, a method for valuing a stock or business. Often used to provide difficult to resolve valuation issues for litigation, tax planning, and business transactions that don t have… …
