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In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data.This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable.
Harvey, Bruce R., "Practical least squares and statistics for surveyors", Monograph 13, Third Edition, School of Surveying and Spatial Information Systems, University of New South Wales, 2006 Huaan Fan, "Theory of Errors and Least Squares Adjustment", Royal Institute of Technology (KTH), Division of Geodesy and Geoinformatics, Stockholm, Sweden ...
For example, in statistical parsing a dynamic programming algorithm can be used to discover the single most likely context-free derivation (parse) of a string, which is commonly called the "Viterbi parse". [4] [5] [6] Another application is in target tracking, where the track is computed that assigns a maximum likelihood to a sequence of ...
For example, a triangular distribution might be used, depending on the application. In three-point estimation, three figures are produced initially for every distribution that is required, based on prior experience or best-guesses: a = the best-case estimate; m = the most likely estimate; b = the worst-case estimate
An estimation procedure that is often claimed to be part of Bayesian statistics is the maximum a posteriori (MAP) estimate of an unknown quantity, that equals the mode of the posterior density with respect to some reference measure, typically the Lebesgue measure.
Surveying data and maps are in Therion format. Auriga free software for Palm OS for in-cave surveying with bidirectional data exchange provided with Compass, Survex, Therion, GH Topo/Toporobot, VisualTopo and Walls. BCRA Cave Surveying Group, Compass Points 33. Short review of Therion and other survey software packages (German).
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The product of an automated valuation technology comes from the analysis of public record data and computer decision logic combined to provide a calculated estimate of a probable value of a residential property. An AVM uses a combination of two or more types of evaluation, - but most commonly, a hedonic model and a repeat transaction index. The ...