- criterion of fitting
- Макаров: критерий соответствия, критерий соответствия (напр. аппроксимирующей кривой заданным значениям)
Универсальный англо-русский словарь. Академик.ру. 2011.
criterion of fitting
Смотреть что такое "criterion of fitting" в других словарях:
Akaike information criterion — Akaike s information criterion, developed by Hirotsugu Akaike under the name of an information criterion (AIC) in 1971 and proposed in Akaike (1974), is a measure of the goodness of fit of an estimated statistical model. It is grounded in the… … Wikipedia
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Maximum-Likelihood-Methode — Die Maximum Likelihood Methode (von engl. maximale Wahrscheinlichkeit) bezeichnet in der Statistik ein parametrisches Schätzverfahren. Dabei wird vereinfacht so vorgegangen, dass derjenige Parameter als Schätzung ausgewählt wird, gemäß dessen… … Deutsch 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/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
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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
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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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
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