Principle of maximum entropy — This article is about the probability theoretic principle. For the classifier in machine learning, see maximum entropy classifier. For other uses, see maximum entropy (disambiguation). Bayesian statistics Theory Bayesian probability Probability… … Wikipedia
Maximum power principle — in Energy Systems Language adapted from Odum and Odum 2000, p. 38 The maximum power principle has been proposed as the fourth principle of energetics in open system thermodynamics, where an example of an open system is a biological cell.… … Wikipedia
Environmental niche modelling — Environmental niche modelling, alternatively known as species distribution modelling, (ecological) niche modelling, and climate envelope modelling refers to the process of using computer algorithms to predict the distribution of species in… … Wikipedia
Choice Modelling — attempts to model the decision process of an individual or segment in a particular context. Choice modelling may also be used to estimate non market environmental benefits and costs [Jeff Bennet University of Queensland… … Wikipedia
Choice modelling — attempts to model the decision process of an individual or segment in a particular context. Choice modelling may also be used to estimate non market environmental benefits and costs[1]. Well specified choice models are sometimes able to predict… … Wikipedia
Competitive exclusion principle — In ecology, the competitive exclusion principle,[1] sometimes referred to as Gause s law of competitive exclusion or just Gause s law,[2] is a proposition which states that two species competing for the same resources cannot coexist if other… … Wikipedia
Peter Principle — For the BBC sitcom, see The Peter Principle (TV series). The Peter Principle states that in a hierarchy every employee tends to rise to his level of incompetence , meaning that employees tend to be promoted until they reach a position at which… … Wikipedia
Generative Modelling Language — In generative computer programming, the Generative Modelling Language (GML) is a very simple programming language for the concise description of complex 3D shapes. It follows the Generative Modelling paradigm, where complex datasets are… … Wikipedia
Luke's variational principle — In fluid dynamics, Luke s variational principle is a Lagrangian variational description of the motion of surface waves on a fluid with a free surface, under the action of gravity. This principle is named after J.C. Luke, who published it in 1967 … Wikipedia
causal modelling — A causal model is an abstract quantitative representation of real world dynamics. Hence, a causal model attempts to describe the causal and other relationships, among a set of variables. The best known form of causal modelling is path analysis ,… … Dictionary of sociology