- estimating method for weight parameters
- метод оценки весовых показателей
Англо-русский словарь нефтегазовой промышленности. 2011.
estimating method for weight parameters
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Joback method — The Joback method [Joback K.G., Reid R.C., Estimation of Pure Component Properties from Group Contributions , Chem.Eng.Commun., 57, 233 243, 1987] (often named Joback/Reid method) predicts eleven important and commonly used pure component… … Wikipedia
Group contribution method — A group contribution method is a technique to estimate and predict thermodynamic and other properties from molecular structures. Introduction In today s chemical processes many hundreds of thousands components are used either as raw material, as… … Wikipedia
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Maximum parsimony (phylogenetics) — Parsimony is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under parsimony, the preferred phylogenetic tree is the tree that requires the least evolutionary change to explain some… … Wikipedia
Maximum parsimony — Maximum parsimony, often simply referred to as parsimony, is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under maximum parsimony, the preferred phylogenetic tree is the tree that… … Wikipedia
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Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… … Wikipedia
Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… … Wikipedia
Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… … Wikipedia
