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1 модифицированная взвешенная оценка, полученная методом наименьших квадратов
Mathematics: MWLSE (modified weighted least-squares estimator)Универсальный русско-английский словарь > модифицированная взвешенная оценка, полученная методом наименьших квадратов
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2 оценка по методу взвешенных наименьших квадратов
Mathematics: weighted least squares estimatorУниверсальный русско-английский словарь > оценка по методу взвешенных наименьших квадратов
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3 приближённо модифицированная взвешенная оценка наименьших квадратов
Универсальный русско-английский словарь > приближённо модифицированная взвешенная оценка наименьших квадратов
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4 взвешенная по среднему
Mathematics: restricted least squares weighted by mean estimatorУниверсальный русско-английский словарь > взвешенная по среднему
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5 взвешенная по средним ограниченная оценка, полученная методом наименьших квадратов
Универсальный русско-английский словарь > взвешенная по средним ограниченная оценка, полученная методом наименьших квадратов
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6 ограниченная оценка по методу наименьших квадратов
Mathematics: restricted least squares weighted by mean estimatorУниверсальный русско-английский словарь > ограниченная оценка по методу наименьших квадратов
См. также в других словарях:
Iteratively re-weighted least squares — The method of iteratively re weighted least squares (IRLS) is a numerical algorithm for minimizing any specified objective function using a standard weighted least squares method such as Gaussian elimination. Whereas techniques are widely… … Wikipedia
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
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
Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… … Wikipedia
Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… … 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
Feasible generalized least squares — (FGLS or Feasible GLS) is a regression technique. It is similar to generalized least squares except that it uses an estimated variance covariance matrix since the true matrix is not known directly.The following description follows loosely the… … Wikipedia
Weighted mean — The weighted mean is similar to an arithmetic mean (the most common type of average), where instead of each of the data points contributing equally to the final average, some data points contribute more than others. The notion of weighted mean… … Wikipedia
M-estimator — In statistics, M estimators are a broad class of statistics which are obtained as the solution to the problem of minimizing certain functions of the data. The process of obtaining an M estimator is called M estimation.Some authors define M… … Wikipedia
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia