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Covariance
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#	Item
601	Practical Regression and Anova using R Julian J. Faraway July 2002 1 Copyright c 1999, 2000, 2002 Julian J. Faraway Add to Reading List Source URL: cran.usthb.dz Language: English - Date: 2002-07-23 07:07:14 Analysis of covariance Stepwise regression Data analysis Partial least squares regression Statistical inference Two-way analysis of variance Least squares Robust regression Outline of regression analysis Statistics Regression analysis Analysis of variance
602	Practical Regression and Anova using R Julian J. Faraway July 2002 1 Copyright c 1999, 2000, 2002 Julian J. Faraway Add to Reading List Source URL: ftp.osuosl.org Language: English - Date: 2002-07-23 07:07:14 Analysis of covariance Stepwise regression Data analysis Partial least squares regression Statistical inference Two-way analysis of variance Least squares Robust regression Outline of regression analysis Statistics Regression analysis Analysis of variance
603	R Reference Card by Tom Short, EPRI PEAC, Granted to the public domain. See www.Rpad.org for the source and latest version. Includes material from R for Beginners by Emmanuel Paradis (with Add to Reading List Source URL: cran.md.tsukuba.ac.jp Language: English - Date: 2004-11-29 04:02:09 Covariance and correlation Linear algebra Functions and mappings Abstract algebra Elementary mathematics Function Normal distribution Vector space Logarithm Mathematics Algebra Mathematical analysis
604	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.md.tsukuba.ac.jp Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
605	g02ddc g02 – Regression Analysis nag regsn mult linear upd model (g02ddc) 1. Add to Reading List Source URL: www.softintegration.com Language: English Regression analysis Linear algebra Data analysis Econometrics Covariance and correlation Linear regression Singular value decomposition Rank Matrix Statistics Algebra Mathematics
606	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.wustl.edu Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
607	Asymptotic analysis of (3, 2, 1)-shell sort Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-06-07 07:25:10 Combinatorics Integer sequences Insertion sort Shellsort Big O notation Covariance Factorial Summation Markov chain Mathematics Sorting algorithms Mathematical notation
608	Practical Regression and Anova using R Julian J. Faraway July 2002 1 Copyright c 1999, 2000, 2002 Julian J. Faraway Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2002-07-23 07:07:14 Analysis of covariance Stepwise regression Data analysis Partial least squares regression Statistical inference Two-way analysis of variance Least squares Robust regression Outline of regression analysis Statistics Regression analysis Analysis of variance
609	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.csiro.au Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
610	Practical Regression and Anova using R Julian J. Faraway July 2002 1 Copyright c 1999, 2000, 2002 Julian J. Faraway Add to Reading List Source URL: mirrors.psu.ac.th Language: English - Date: 2002-07-23 07:07:14 Analysis of covariance Stepwise regression Data analysis Partial least squares regression Statistical inference Two-way analysis of variance Least squares Robust regression Outline of regression analysis Statistics Regression analysis Analysis of variance

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