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estimation problems

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  • Estimation — is the calculated approximation of a result which is usable even if input data may be incomplete or uncertain. In statistics, estimation theory and estimator, for topics involving inferences about probability distributions forecasting and… …   Wikipedia

  • estimation — noun (U) 1 your opinion of the value, nature etc of someone or something: in my/your etc estimation: This will simply lead, in our estimation, to further problems. 2 respect or admiration for someone; esteem 1: go up/come down in sb s estimation… …   Longman dictionary of contemporary English

  • Software development effort estimation — is the process of predicting the most realistic use of effort required to develop or maintain software based on incomplete, uncertain and/or noisy input. Effort estimates may be used as input to project plans, iteration plans, budgets, investment …   Wikipedia

  • Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… …   Wikipedia

  • Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… …   Wikipedia

  • Interval estimation — In statistics, interval estimation is the use of sample data to calculate an interval of possible (or probable) values of an unknown population parameter. The most prevalent forms of interval estimation are: * confidence intervals (a frequentist… …   Wikipedia

  • Entropy estimation — Estimating the differential entropy of a system or process, given some observations, is useful in various science/engineering applications, such as Independent Component Analysis [Dinh Tuan Pham (2004) Fast algorithms for mutual information based …   Wikipedia

  • Proximity problems — is a class of problems in computational geometry which involve estimation of distances between geometric objects. A subset of these problems stated in terms of points only are sometimes referred to as closest point problems[1], although the term… …   Wikipedia

  • Articulated body pose estimation — Articulated body pose estimation, in computer vision, is the study of algorithms and systems that recover the pose of an articulated body, which consists of joints and rigid parts using image based observations. It is one of longest lasting… …   Wikipedia

  • PROPT — Infobox Software name = PROPT developer = [http://tomopt.com/ Tomlab Optimization Inc.] latest release version = 6.1 latest release date = release date|2008|06|11 operating system = [http://tomopt.com/tomlab/about/ TOMLAB® OS Support] genre =… …   Wikipedia

  • Artificial neural network — An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an… …   Wikipedia

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