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1 метод наименьших квадратов
1) Computers: least-square method2) Naval: minimum squares3) Colloquial: least squares4) Military: least squares process5) Engineering: least-squares method, least-squares technique, method of least squares6) Mathematics: LS, LS method, least square method ( LS method)7) Statistics: least-squares procedure, minimum sum of squared errors ( minimum SSE) (другое название: LSE - least squared errors method)8) Information technology: technique of least squares9) Oil: lease square method10) Astronautics: least squares method11) Geophysics: least squares technique12) Drilling: least square method13) Quality control: least square (method), principle of least squares14) Makarov: least square procedure, least square technique, least-squares scheme15) Electrochemistry: adjustment method16) General subject: least squares adjustment17) General subject: least spreads methodУниверсальный русско-английский словарь > метод наименьших квадратов
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Minimum message length — (MML) is a formal information theory restatement of Occam s Razor: even when models are not equal in goodness of fit accuracy to the observed data, the one generating the shortest overall message is more likely to be correct (where the message… … Wikipedia
Minimum distance estimation — (MDE) is a statistical method for fitting a mathematical model to data, usually the empirical distribution. Contents 1 Definition 2 Statistics used in estimation 2.1 Chi square criterion … Wikipedia
Minimum description length — The minimum description length (MDL) principle is a formalization of Occam s Razor in which the best hypothesis for a given set of data is the one that leads to the best compression of the data. MDL was introduced by Jorma Rissanen in 1978. It is … Wikipedia
Minimum wage — A minimum wage is the lowest hourly, daily or monthly remuneration that employers may legally pay to workers. Equivalently, it is the lowest wage at which workers may sell their labour. Although minimum wage laws are in effect in a great many… … Wikipedia
Minimum bounding rectangle — The minimum bounding rectangle (MBR), also known as bounding box or envelope, is an expression of the maximum extents of a 2 dimensional object (e.g. point, line, polygon) within its 2 D (x, y) coordinate system, in other words min(x), max(x),… … Wikipedia
Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… … 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
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 — 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