distributed-parameters method

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• Distributed GIS — concerns itself with GI Systems that do not have all of the system components in the same physical location. This could be the processing, the database, the rendering or the user interface. Examples of distributed systems are web based GIS,… …   Wikipedia

• Distributed data flow — An illustration of the basic concepts involved in the definition of a distributed data flow. Distributed data flow (also abbreviated as distributed flow) refers to a set of events in a distributed application or protocol that satisfies the… …   Wikipedia

• Method of moments (statistics) — See method of moments (probability theory) for an account of a technique for proving convergence in distribution. In statistics, the method of moments is a method of estimation of population parameters such as mean, variance, median, etc. (which… …   Wikipedia

• Distributed transmission system — This article is about terrestrial broadcasting. For electrical power distribution, see distributed generation. In North American digital terrestrial television broadcasting, a distributed transmission system (DTS or DTx) is a form of single… …   Wikipedia

• Method stub — A method stub or simply stub in software development is a piece of code used to stand in for some other programming functionality. A stub may simulate the behavior of existing code (such as a procedure on a remote machine) or be a temporary… …   Wikipedia

• Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics …   Wikipedia

• Monte Carlo method for photon transport — Modeling photon propagation with Monte Carlo methods is a flexible yet rigorous approach to simulate photon transport. In the method, local rules of photon transport are expressed as probability distributions which describe the step size of… …   Wikipedia

• Stein's method — is a general method in probability theory to obtain bounds on the distance between two probability distributions with respect to a probability metric. It was introduced by Charles Stein, who first published it 1972,[1] to obtain a bound between… …   Wikipedia

• Delta method — In statistics, the delta method is a method for deriving an approximate probability distribution for a function of an asymptotically normal statistical estimator from knowledge of the limiting variance of that estimator. More broadly, the delta… …   Wikipedia

• Information bottleneck method — The information bottleneck method is a technique introduced by Tishby et al [1] for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint probability… …   Wikipedia

• Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …   Wikipedia