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Covariance and correlation
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#	Item
401	Summarizing Measured Data Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2006-12-28 14:05:28 Probability theory Data analysis Summary statistics Variance Covariance Normal distribution Q-Q plot Probability distribution Cumulative distribution function Statistics Probability and statistics Covariance and correlation
402	Reduced Space Optimal Interpolation of Historical Marine Sea Level Pressure: 1854{19921 Alexey Kaplan, Yochanan Kushnir, and Mark A. Cane Lamont{Doherty Earth Observatory of Columbia University, Palisades, NY Add to Reading List Source URL: rainbow.ldeo.columbia.edu Language: English - Date: 2004-07-15 15:09:13 Data analysis Covariance and correlation Estimation theory Bayesian statistics Weather prediction Data assimilation Variance Covariance Statistics Information Science
403	Empirical Mode Decomposition for Intrinsic-Relationship Extraction in Large Sensor Deployments Romain Fontugne Jorge Ortiz, David Culler Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-07-26 12:34:46 Correlation and dependence Hilbert–Huang transform Correlation Wireless sensor network G factor Measurement Technology Education Covariance and correlation Statistical dependence Educational psychology
404	➠ ➡ HIERARCHICAL CORRELATION COMPENSATION FOR HIDDEN MARKOV MODELS Hui Lin, Ye Tian, Jian-Lai Zhou, Hui Jiang** Dept. of Electronic Engineering, Tsinghua University, Beijing, China Add to Reading List Source URL: research.microsoft.com Language: English* - Date: 2009-08-10 10:41:28 Data analysis Algebra of random variables Summary statistics Covariance matrix Covariance Matrix Mixture model Linear discriminant analysis Hidden Markov model Statistics Covariance and correlation Multivariate statistics
405	Package Development in R: Implementing GO-GARCH models Dr. Bernhard Pfaff Invesco Asset Management Deutschland GmbH, Frankfurt am Main Add to Reading List Source URL: www.pfaffikus.de Language: English - Date: 2012-07-05 15:38:17 Time series analysis Autoregressive conditional heteroskedasticity Data analysis Covariance matrix Normal distribution Matrix Covariance Statistics Covariance and correlation Econometrics
406	Elementary Regression Theory Richard E. Quandt Princeton University Theorem 1. If the k × 1 vector Y is distributed as N (µ, V ), and if B is an m × k matrix < Add to Reading List Source URL: www.quandt.com Language: English - Date: 2011-05-26 09:25:56 Matrices Covariance and correlation Matrix theory Multivariate normal distribution Normal distribution Idempotence Covariance matrix Orthogonal matrix Trace Algebra Statistics Mathematics
407	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.repo.bppt.go.id 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
408	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.sciserv.eu 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
409	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.cc.uoc.gr 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
410	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-r.c3sl.ufpr.br 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

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