- variance minimization approach
- Биржевой термин: метод минимизации вариации
Универсальный англо-русский словарь. Академик.ру. 2011.
variance minimization approach
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Variance minimization approach to tracking — An approach to bond indexing that uses historical data to estimate the variance of the tracking error. The New York Times Financial Glossary … Financial and business terms
variance-minimization approach to tracking — An approach to bond indexing that uses historical data to estimate the variance of the tracking error. Bloomberg Financial Dictionary … Financial and business terms
Phase dispersion minimization — (PDM) is a data analysis technique that searches for periodic components of a time series data set. It is useful for data sets with gaps, non sinusoidal variations, poor time coverage or other problems that would make Fourier techniques unusable … Wikipedia
Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression … Wikipedia
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Optimal design — This article is about the topic in the design of experiments. For the topic in optimal control theory, see shape optimization. Gustav Elfving developed the optimal design of experiments, and so minimized surveyors need for theodolite measurements … Wikipedia
statistics — /steuh tis tiks/, n. 1. (used with a sing. v.) the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and… … Universalium
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
Randomized controlled trial — Flowchart of four phases (enrollment, intervention allocation, follow up, and data analysis) of a parallel randomized trial of two groups, modified from the CONSORT (Consolidated Standards of Reporting Trials) 2010 Statement[1] … Wikipedia
Coefficient of determination — In statistics, the coefficient of determination R2 is used in the context of statistical models whose main purpose is the prediction of future outcomes on the basis of other related information. It is the proportion of variability in a data set… … Wikipedia
Determining the number of clusters in a data set — Determining the number of clusters in a data set, a quantity often labeled k as in the k means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. For a certain … Wikipedia
