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Durbin–Watson statistic
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71	Time-Series Regression and Generalized Least Squares in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: 11 November 2010 Add to Reading List Source URL: socserv.socsci.mcmaster.ca Language: English - Date: 2010-11-11 18:20:15 Autocorrelation Ordinary least squares Generalized least squares Errors and residuals in statistics Least squares Standard error Newey–West estimator Linear regression Statistics Regression analysis Durbin–Watson statistic
72	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: ftp.acc.umu.se Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
73	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: ftp.yz.yamagata-u.ac.jp Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
74	Linear Regression and Correlation Add to Reading List Source URL: ncss.wpengine.netdna-cdn.com Language: English - Date: 2015-01-06 16:08:20 Least squares Parametric statistics Data analysis Linear regression Coefficient of determination Correlation and dependence Durbin–Watson statistic Homoscedasticity Total least squares Statistics Regression analysis Econometrics
75	Microsoft Word - naun-journal 2013 sent.doc Add to Reading List Source URL: www.naun.org Language: English - Date: 2013-10-24 01:54:00 Economics Cointegration Unit root Phillips curve Inflation Vector autoregression Durbin–Watson statistic Economic model Unemployment Statistics Time series analysis Econometrics
76	A Pooled Time-Series Analysis on the Relation Between Fertility and Female Employment Henriette Engelhardt Alexia Prskawetz Henriette Engelhardt and Alexia Prskawetz are research scientists at the Vienna Institute of De Add to Reading List Source URL: www.oeaw.ac.at Language: English - Date: 2005-11-14 09:50:42 Covariance and correlation Demography Regression analysis Autocorrelation Total fertility rate Durbin–Watson statistic Fertility Correlation and dependence Prais–Winsten estimation Statistics Econometrics Time series analysis
77	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: ftp.sunet.se Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
78	g01 – Simple Calculations on Statistical Data g01epc NAG C Library Function Document nag_prob_durbin_watson (g01epc) Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:06 Regression analysis Covariance and correlation Statistical tests Durbin–Watson statistic Autocorrelation Correlation and dependence Linear regression Durbin Statistical hypothesis testing Statistics Econometrics Time series analysis
79	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: star-www.st-andrews.ac.uk Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
80	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.md.tsukuba.ac.jp Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression

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