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1 weighted regression
French\ \ régression pondéréeGerman\ \ gewichtete RegressionDutch\ \ gewogen regressieItalian\ \ regressione ponderataSpanish\ \ regresión ponderadaCatalan\ \ regressió ponderadaPortuguese\ \ regressão ponderadaRomanian\ \ -Danish\ \ -Norwegian\ \ -Swedish\ \ vägd regressionGreek\ \ σταθμισμένη παλινδρόμησηFinnish\ \ painotettu regressioHungarian\ \ -Turkish\ \ ağırlıklı regresyonEstonian\ \ -Lithuanian\ \ -Slovenian\ \ tehtana regresijaPolish\ \ -Russian\ \ взвешенная регрессияUkrainian\ \ зважена регресіяSerbian\ \ -Icelandic\ \ vegin afturförEuskara\ \ -Farsi\ \ -Persian-Farsi\ \ -Arabic\ \ الانحدار الموزونAfrikaans\ \ geweegde regressieChinese\ \ -Korean\ \ 가중회귀 -
2 Weighted Non Linear Regression
Mathematics: WNLRУниверсальный русско-английский словарь > Weighted Non Linear Regression
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3 Weighted Non-parametric Quantile regression
Mathematics: WNQNУниверсальный русско-английский словарь > Weighted Non-parametric Quantile regression
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4 Weighted Non-parametric Quantile regression with Normal errors
Mathematics: WNQNУниверсальный русско-английский словарь > Weighted Non-parametric Quantile regression with Normal errors
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5 взвешенная регрессия
weighted regression мат.Русско-английский научно-технический словарь Масловского > взвешенная регрессия
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6 взвешенная регрессия
Economy: weighted regressionУниверсальный русско-английский словарь > взвешенная регрессия
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7 взвешенный регрессионный анализ
Quality control: weighted regression analysisУниверсальный русско-английский словарь > взвешенный регрессионный анализ
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8 робастная локально взвешенная регрессия
Statistics: robust locally weighted regression (подгонка локальной регрессионной модели к каждой конкретной точке и ближайшим к ней точкам)Универсальный русско-английский словарь > робастная локально взвешенная регрессия
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9 взвешенная линейная регрессия
Statistics: weighted linear regressionУниверсальный русско-английский словарь > взвешенная линейная регрессия
См. также в других словарях:
Unit-weighted regression — In statistics, unit weighted regression is perhaps the easiest form of multiple regression analysis, a method in which two or more variables are used to predict the value of an outcome. At a conceptual level, the example of weight loss can… … Wikipedia
Locally weighted regression — In machine learning, locally weighted regression is a memory based method that performs a regression around a point of interest using only training data that are local to that point … Wikipedia
Régression géographiquement pondérée — La Régression géographiquement pondérée (« Geographically Weighted Regression » ou « GWR ») est une Régression (statistiques) adaptée au domaine de l analyse spatiale et tenant compte de la dépendance géographique [1],[2].… … Wikipédia en Français
Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… … Wikipedia
Kernel-Regression — Unter Kernel Regression versteht man eine Reihe nichtparametrischer statistischer Methoden, bei denen die Abhängigkeit einer zufälligen Größe von Ausgangsdaten mittels Kerndichteschätzung geschätzt werden. Die Art der Abhängigkeit, dargestellt… … Deutsch Wikipedia
Local regression — LOESS, or locally weighted scatterplot smoothing, is one of many modern modeling methods that build on classical methods, such as linear and nonlinear least squares regression. Modern regression methods are designed to address situations in which … Wikipedia
Nonlinear regression — See Michaelis Menten kinetics for details In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or… … 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
Cluster-weighted modeling — In statistics, cluster weighted modeling (CWM) is an algorithm based approach to non linear prediction of outputs (dependent variables) from inputs (independent variables) based on density estimation using a set of models (clusters) that are each … Wikipedia
Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… … Wikipedia
Isotonic regression — In numerical analysis, isotonic regression (IR) involves finding a weighted least squares fit to a vector with weights vector subject to a set of monotonicity constraints giving a simple or partial order over the variables. The monotonicity… … Wikipedia