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Covariance
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#	Item
961	Short Course: Flux Measurement Fundamentals July 27 to 31, 2015 Instructors: Add to Reading List Source URL: tereno.imk-ifu.kit.edu Language: English - Date: 2015-03-09 13:15:46 Eddy covariance Fluid mechanics Covariance Flux Meteorology Greenhouse gas Turbulence Physics Fluid dynamics Covariance and correlation
962	Choosing Statistical Analyses Decision Tree Level of measurement of the DV? Nominal or Ordinal Add to Reading List Source URL: www.muhlenberg.edu Language: English - Date: 2009-10-27 13:51:38 Parametric statistics Scientific method Analysis of variance Linear regression Logistic regression Non-parametric statistics Level of measurement Analysis of covariance Statistics Regression analysis Econometrics
963	STANOVAR.MK5 Page 1 Friday, December 17, :33 PM CONTENTS INDEX Add to Reading List Source URL: egret.psychol.cam.ac.uk Language: English - Date: 2005-12-18 19:00:00 Design of experiments Hypothesis testing Multiple comparisons Two-way analysis of variance F-test One-way ANOVA Multivariate analysis of variance Analysis of covariance Statistical power Statistics Analysis of variance Statistical tests
964	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: ftp.yz.yamagata-u.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
965	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: ftp.acc.umu.se 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
966	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: ftp.acc.umu.se 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
967	Wi-Fi Indoor Localization Xuance Wang Supervised by Tat-Jun Chin, Gustavo Carneiro and T.Sathyan School of Computer Science, University of Adelaide Introduction Add to Reading List Source URL: cs.adelaide.edu.au Language: English - Date: 2014-05-12 01:42:02 Robot control Kalman filter Variance Unscented transform Weighted mean Covariance Gauss–Markov theorem Statistics Control theory Linear filters
968	Journal of Theoretical Biology–23 Contents lists available at ScienceDirect Journal of Theoretical Biology journal homepage: www.elsevier.com/locate/yjtbi Add to Reading List Source URL: www.maths.adelaide.edu.au Language: English - Date: 2014-03-20 16:51:14 Cellular processes Correlation and dependence Statistical dependence Chemotaxis Spatial analysis Cell growth Ridge Cell adhesion Biology Cell biology Covariance and correlation
969	The AmeriFlux Network Watching the terrestrial biosphere breathe ameriflux.lbl.gov A MER I F LUX Add to Reading List Source URL: tes.science.energy.gov Language: English - Date: 2014-10-10 11:58:22 Covariance and correlation Eddy covariance Systems ecology Ecosystems Carbon cycle Terrestrial ecosystem Carbon Dioxide Information Analysis Center FluxNet Biology Ecology Science
970	A tutorial on Principal Components Analysis Lindsay I Smith February 26, 2002 Chapter 1 Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-12-18 23:34:32 Summary statistics Singular value decomposition Multivariate statistics Principal component analysis Covariance matrix Eigenvalues and eigenvectors Variance Covariance Standard deviation Statistics Data analysis Covariance and correlation

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