error sum of squares

error sum of squares: = residual sum of squares

French\ \ somme des carrés des erreurs; somme des carrés résiduelle; somme des carrés des résidus

German\ \ Summe der Fehlerquadrate; Summe der Abweichungsquadrate

Dutch\ \ residuele kwadratensom

Italian\ \ devianza residua; somma dei quadrati dei residui

Spanish\ \ suma de errores cuadrados; suma de los cuadrados residual; suma de los cuadrados residuos; suma residual de cuadrados

Catalan\ \ suma d'errors al quadrat; suma dels quadrats dels errors; suma de quadrats residuals

Portuguese\ \ soma dos quadrados dos erros; soma dos quadrados dos resíduos

Romanian\ \ suma eroare de pătrate; suma reziduală a pătratelor

Danish\ \ residualkvadratsum

Norwegian\ \ feilkvadratsum; restkvadratsum

Swedish\ \ residualkvadratsumma

Greek\ \ άθροισμα τετραγώνων των καταλοίπων

Finnish\ \ jäännösneliösumma

Hungarian\ \ hiba négyzetösszeg; maradék negyzetösszeg

Turkish\ \ hata kareler toplamı; yanılgı kareler toplamı; artık kareler toplamı

Estonian\ \ summaarne ruutviga; ruutude jääksumma; jääkide ruutude summa

Lithuanian\ \ paklaidų kvadratų suma

Slovenian\ \ vsota kvadratov napake; vsota kvadratov ostanka

Polish\ \ resztowa suma kwadratów odchyleń

Russian\ \ остаточная сумма квадратов

Ukrainian\ \ сума квадратів відхилень

Serbian\ \ грешка збир квадрата; резидуалне суме квадрата

Icelandic\ \ villa summu ferninga; leifar summu ferninga

Euskara\ \ karratu errorea batura; karratuen batura hondar

Farsi\ \ m jmoo-e t vanhaye dovome kh ta; m jmoo-e t vanhaye dovome mandeha

Persian-Farsi\ \ مجموع توانهاي دوم مانده‌ها

Arabic\ \ مجموع مربعات الخطاء؛ ومجموع مربعات البواقي

Afrikaans\ \ foutsom van kwadrate; som van kwadrate van residue

Chinese\ \ 误差平方和; 剩余平方和，残差平方和

Korean\ \ 오차제곱합; 잔차제곱합

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Sum of squares — is a concept that permeates much of inferential statistics and descriptive statistics. More properly, it is the sum of the squared deviations . Mathematically, it is an unscaled, or unadjusted measure of dispersion (also called variability). When … Wikipedia
Lack-of-fit sum of squares — In statistics, a sum of squares due to lack of fit, or more tersely a lack of fit sum of squares, is one of the components of a partition of the sum of squares in an analysis of variance, used in the numerator in an F test of the null hypothesis… … Wikipedia
Explained sum of squares — In statistics, an explained sum of squares (ESS) is the sum of squared predicted values in a standard regression model (for example y {i}=a+bx {i}+epsilon {i}), where y {i} is the response variable, x {i} is the explanatory variable, a and b are… … Wikipedia
Residual sum of squares — In statistics, the residual sum of squares (RSS) is the sum of squares of residuals. It is the discrepancy between the data and our estimation model. The smaller this discrepancy is, the better the estimation will be.:RSS = sum {i=1}^n (y i f(x… … Wikipedia
Residual Sum Of Squares - RSS — A statistical technique used to measure the amount of variance in a data set that is not explained by the regression model. The residual sum of squares is a measure of the amount of error remaining between the regression function and the data set … Investment dictionary
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
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
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
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

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error sum of squares

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