non-linear model
51Generalized scale-free model — There has been a burst of activity in the modeling of scale free complex networks. The recipe of Barabási and AlbertBarabási, A. L. and R. Albert, Science 286, 509(1999).] has been followed by several variations and generalizationsR. Albert, and… …
52First-hitting-time model — In statistics, first hitting time models are a sub class of survival models. The first hitting time, also called first passage time, of a set A with respect to an instance of a stochastic process is the time until the stochastic process first… …
53Statistical model — A statistical model is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or more random variables. The model is statistical… …
54SETAR (model) — In statistics, Self Exciting Thereshold AutoRegressive (SETAR) models are typically applied to time series data as an extension of autoregressive models, in order to allow for higher degree of flexibility in model parameters through a regime… …
55Rasch model — Rasch models are used for analysing data from assessments to measure things such as abilities, attitudes, and personality traits. For example, they may be used to estimate a student s reading ability from answers to questions on a reading… …
56Moving-average model — In time series analysis, the moving average (MA) model is a common approach for modeling univariate time series models. The notation MA(q) refers to the moving average model of order q: where μ is the mean of the series, the θ1, ..., θq are the… …
57Agent-based model — An agent based model (ABM) (also sometimes related to the term multi agent system or multi agent simulation) is a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective… …
58System of linear equations — In mathematics, a system of linear equations (or linear system) is a collection of linear equations involving the same set of variables. For example,:egin{alignat}{7}3x ; + ; 2y ; ; z ; = ; 1 2x ; ; 2y ; + ; 4z ; = ; 2 x ; + ; frac{1}{2} y ; ; z …
59Generalized Maxwell model — Schematic of Maxwell–Wiechert model The Generalized Maxwell model also known as the Maxwell–Wiechert model (after James Clerk Maxwell and E Wiechert [1] [2]) is the most general form of the l …
60Multilevel model — Multilevel models (also hierarchical linear models, nested models, mixed models, random coefficient, random effects models, random parameter models, or split plot designs) are statistical models of parameters that vary at more than one level.… …
