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Algebra of random variables
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#	Item
111	IEEE TRANSACTIONS ON ACOUSTICS, SPEECH, AND SIGNAL 172 SCER Add to Reading List Source URL: doc.utwente.nl Language: English - Date: 2011-08-28 10:50:09 Probability theory Algebra of random variables Covariance Covariance and correlation Multiplier Filter Spectral density Expected value Kalman filter Mathematical analysis Mathematics Signal processing
112	Aggregate Shocks or Aggregate Information? Costly Information and Business Cycle Comovement Technical Appendix Laura Veldkamp Stern School of Business New York University Add to Reading List Source URL: users.nber.org Language: English - Date: 2013-06-27 13:35:18 Covariance K1 Correlation and dependence K2 Covariance and correlation Algebra of random variables Statistical dependence
113	Chapter 1 Portfolio Theory with Matrix Algebra Updated: August 7, 2013 When working with large portfolios, the algebra of representing portfolio expected returns and variances becomes cumbersome. The use of matrix (linea Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2013-08-07 17:08:06 Algebra of random variables Covariance and correlation Summary statistics Multivariate random variable Variance Covariance matrix Covariance Standard deviation Modern portfolio theory Statistics Data analysis Probability theory
114	Quan%fying Uncertainty in Model Predic%ons Alun L. Lloyd Department of Mathema%cs Biomathema%cs Graduate Program Add to Reading List Source URL: www.newton.ac.uk Language: English - Date: 2014-05-31 12:48:56 Algebra of random variables Covariance Covariance and correlation Expected value Differential equation Variance Multivariate normal distribution Moment Statistics Probability theory Mathematical analysis
115	g05 – Random Number Generators g05lyc NAG Library Function Document nag_rgsn_matrix_multi_normal (g05lyc) Add to Reading List Source URL: nag.com Language: English - Date: 2012-01-26 06:18:32 Covariance and correlation Abstract algebra Linear algebra Data analysis Algebra of random variables Covariance matrix Covariance Multivariate normal distribution Matrix Algebra Statistics Mathematics
116	Notes on methods for the political survey Chris Lightfoot, [removed] July 16, 2003 Abstract Some brief notes summarising the statistics and method in use. Add to Reading List Source URL: politics.beasts.org Language: English - Date: 2003-07-16 18:51:07 Data analysis Singular value decomposition Algebra of random variables Multivariate statistics Covariance Variance Principal component analysis Correlation and dependence Eigenvalues and eigenvectors Statistics Algebra Covariance and correlation
117	Analysis of classification possibility infrasound signals from different sources based on correlation ability N.D. Tsybulskaya S.N. Kulichkov Add to Reading List Source URL: www.ctbto.org Language: English - Date: 2011-06-29 08:18:10 Multivariate statistics Matrices Summary statistics Covariance matrix Covariance Multivariate random variable Matrix Normal distribution Cross-covariance Statistics Covariance and correlation Algebra of random variables
118	Economics 411: Monetary and Financial Theory Fall, 1993 Derivatives of Statistics The following lemma is useful in what follows: Cov(X, Y ) = E (XY ) − E (Y )E (X). Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Algebra of random variables Data analysis Variance Covariance Law of total covariance Statistics Probability theory Covariance and correlation
119	Review of Statistics by Miles Kimball Notation Below, the letters X, Y , Z, V , X1 , X2 , . . . Xn , etc. will always represent random variables, while a, b, c and d will always represent nonrandom constants. p2 , p3 , e Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Data analysis Probability theory Covariance Summary statistics Variance Uncorrelated Expected value Standard deviation Ordinary least squares Statistics Covariance and correlation Algebra of random variables
120	Economics 411: Monetary and Financial Theory Winter, 1995 Problem Set #2 A. Assume that for all i, E Xi = µ and Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Covariance and correlation Summary statistics Algebra of random variables Variance Covariance Standard deviation Ordinary least squares Instrumental variable Least squares Statistics Regression analysis Data analysis

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