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Studentized residual
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1	PDF Document Add to Reading List Source URL: courses.washington.edu Language: English - Date: 2004-01-27 09:46:47 Statistics Regression analysis Studentized residual Errors and residuals Degrees of freedom Projection matrix Linear regression Mean squared error Ordinary least squares Coefficient of determination
2	Title stata.com regress postestimation — Postestimation tools for regress Postestimation commands Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:42 Error Measurement Parametric statistics Studentized residual Errors and residuals in statistics T-statistic Linear regression Variance inflation factor Autoregressive conditional heteroskedasticity Statistics Regression analysis Econometrics
3	SMALL-AREA LIFE EXPECTANCY: A COMPARISON OF METHODS, RELATIONSHIP TO NEIGHBORHOOD SOCIODEMOGRAPHIC FACTORS, & OUTLIER ANALYSIS Chungfen Ren, Emily Zimmerman, Steven A. Cohen, Robert E. Johnson, Lauren Kelley, Amber Haley Add to Reading List Source URL: www.societyhealth.vcu.edu Language: English - Date: 2015-05-07 15:52:18 Actuarial science Error Measurement Regression Outlier Linear regression Life expectancy Studentized residual Errors and residuals in statistics Statistics Regression analysis Econometrics
4	Diagnosing Problems in Linear and Generalized Linear Models 6 Add to Reading List Source URL: www.sagepub.com Language: English - Date: 2010-11-15 23:53:41 Errors 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
5	g02fac g02 – Regression Analysis nag regsn std resid inﬂuence (g02fac) 1. Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Measurement Parametric statistics Econometrics Studentized residual Errors and residuals in statistics T-statistic Linear regression Statistics Regression analysis Error
6	Stat[removed]Oehlert): Checking Assumptions 1 > # We will first go through some of the techniques we have for detecting problems with assumptions. Then we will go back and consider various data analytic techniques for acc Add to Reading List Source URL: users.stat.umn.edu Language: English - Date: 2013-01-27 11:39:10 Time series analysis Parametric statistics Measurement Durbin–Watson statistic Studentized residual Homoscedasticity Analysis of variance Degrees of freedom Errors and residuals in statistics Statistics Statistical tests Regression analysis
7	Stat[removed]Oehlert): Latin Squares 1 > nouns <- read.table("nouns.dat.txt",header=TRUE) Data from Kirk (1982, Brooks/Cole). Adjective/noun pairs are presented on a computer Add to Reading List Source URL: users.stat.umn.edu Language: English - Date: 2014-03-26 09:42:10 Analysis of variance Parametric statistics Measurement F-test Errors and residuals in statistics Degrees of freedom Contrast Studentized residual Coefficient of determination Statistics Statistical tests Regression analysis
8	Neurorehabilitation and Neural Repair http://nnr.sagepub.com Inter-individual Variability in the Capacity for Motor Recovery After Ischemic Stroke Shyam Prabhakaran, Eric Zarahn, Claire Riley, Allison Speizer, Ji Y. Chon Add to Reading List Source URL: blam-lab.org Language: English - Date: 2012-07-26 22:31:06 Econometrics Error Measurement Stroke recovery Linear regression Errors and residuals in statistics Hemiplegia Studentized residual Neurorehabilitation Statistics Regression analysis Stroke
9	New URL: http://www.R-project.org/conferences/DSC[removed]Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC[removed]March 20–22, Vienna, Austria ISSN 1609-395X Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 04:12:00 Measurement Least squares Errors and residuals in statistics Statistical theory Studentized residual Variogram Deviation Ordinary least squares Degrees of freedom Statistics Regression analysis Error
10	Random Location and Scale Effects: Model Building Methods for a General Class of Models William S. Cleveland Lorraine Denby Chuanhai Liu Bell Labs Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2004-02-20 21:14:00 Data analysis Estimation theory Parametric statistics Normal distribution Linear regression Explained variation Studentized residual Autoregressive conditional heteroskedasticity Variance Statistics Regression analysis Econometrics

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