Residual sum of squares

Results: 55



#Item
11Semiparametric regression / Heteroscedasticity-consistent standard errors / T-statistic / Least squares / Polynomial regression / Bias of an estimator / Nonparametric regression / Residual sum of squares / Normal distribution / Statistics / Regression analysis / Linear regression

New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis Jianqing FAN and Runze L I Semiparametric regression models are very useful for longitudinal data analysis. The comp

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Source URL: www.personal.psu.edu

Language: English - Date: 2004-11-30 13:50:28
12Regression analysis / Least-angle regression / Lasso / Least squares / Residual sum of squares / Vector space / Regularization / Bootstrapping / Machine learning / Statistics / Algebra / Mathematics

Package ‘lars’ February 20, 2015 Type Package Version 1.2 DateTitle Least Angle Regression, Lasso and Forward Stagewise

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Source URL: cran.r-project.org

Language: English - Date: 2015-02-19 18:14:06
13Errors and residuals in statistics / Linear regression / Studentized residual / Marginal model / Least squares / Residual sum of squares / T-statistic / Partial regression plot / Regression model validation / Statistics / Regression analysis / Ordinary least squares

Diagnosing Problems in Linear and Generalized Linear Models 6

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Source URL: www.sagepub.com

Language: English - Date: 2010-11-15 23:53:41
14Linear regression / Least squares / Instrumental variable / Linear least squares / Akaike information criterion / Residual sum of squares / Linear model / Nonlinear regression / Errors and residuals in statistics / Statistics / Regression analysis / Ordinary least squares

Economics Discussion Paper Series EDP-1504 The Asymptotic Behaviour of the Residual Sum of Squares in Models with Multiple Break Points

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Source URL: www.socialsciences.manchester.ac.uk

Language: English - Date: 2015-03-25 09:27:28
15Logistic regression / Statistics / Regression analysis / Residual sum of squares

Table 2 Estimation Results of DFM with 5 Variables and Business Sentiments φ0 Φ0 φ1 Φ1

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Source URL: cis.ier.hit-u.ac.jp

Language: English - Date: 2014-07-01 09:03:30
16Disinfectants / Oxygen / Ozone / Ozone depletion / Wavelength / Errors and residuals in statistics / Residual sum of squares / Statistics / Regression analysis / Environmental chemistry

File name: _AboutFilesInThisDirectory01.pdf By P. Kiedron on November 11, 2009 PMOD/WRC, Davos, Switzerland and NOAA/CIRES, Boulder, USA or Quadratic temperature parametri

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Source URL: uvo3web.cmdl.noaa.gov

Language: English - Date: 2009-11-11 16:51:00
17Linear regression / Residual sum of squares / Coefficient of determination / Errors and residuals in statistics / Partition of sums of squares / Degrees of freedom / Explained sum of squares / Fraction of variance unexplained / Statistics / Regression analysis / Simple linear regression

g02cac g02 – Regression Analysis nag simple linear regression (g02cac) 1.

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Source URL: www.softintegration.com

Language: English - Date: 2004-10-25 19:49:07
18Linear regression / Simple linear regression / Least squares / Errors and residuals in statistics / Q-Q plot / F-test / Gauss–Markov theorem / Statistics / Regression analysis / Residual sum of squares

Stat 302 Statistical Software and Its Applications Regression Fritz Scholz Department of Statistics, University of Washington

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-01-08 17:22:58
19Linear regression / Errors and residuals in statistics / Residual sum of squares / Durbin–Watson statistic / Least squares / Linear least squares / Variance inflation factor / Multicollinearity / Statistics / Regression analysis / Ordinary least squares

Regression with Just the Facts Clopper Almon* 1996 September

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Source URL: www.iioa.org

Language: English - Date: 2007-10-09 05:35:47
20Ordinary least squares / Generalized least squares / Linear regression / Linear least squares / Least squares / Residual sum of squares / Covariance / Errors and residuals in statistics / Heteroscedasticity-consistent standard errors / Statistics / Regression analysis / Gauss–Markov theorem

Classical Decomposition Model Revisited: I • recall classical decomposition model for time series Yt, namely, Yt = mt + st + Wt, (∗)

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Source URL: faculty.washington.edu

Language: English - Date: 2015-03-11 12:29:22
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