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Analysis of covariance
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361	State-Space Models – Introduction • through two seemingly simple equations, state-space models define a rich class of processes that have served well as models for time series − special cases: ARIMA and SARIMA mode Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-03-11 13:06:01 Stochastic processes Data compression White noise Autoregressive model Covariance Statistics Noise Time series analysis
362	2528 JOURNAL OF CLIMATE VOLUME 14 Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2001-06-20 14:30:40 Principal component analysis Correlation and dependence Differential equation Canonical correlation Nonlinear system Pearson product-moment correlation coefficient Covariance Nonlinear regression Statistics Covariance and correlation Multivariate statistics
363	15th International Conference on Input-Output Techniques 15th International Conference on Input-Output Techniques Renmin Univ. of China, Beijing, China June 27 to July 1, 2005 Innovation Diffusion: a Sectoral Econometri Add to Reading List Source URL: www.iioa.org Language: English - Date: 2007-10-09 05:37:47 Time series analysis Economics Autocorrelation Covariance and correlation Signal processing Reduced form Input-output model Statistics Econometrics Regression analysis
364	Probability and Statistics Applications in Aviation and Space Fritz Scholz Department of Statistics February 3, 2011 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-02-03 17:08:01 Algebra of random variables Covariance Reliability engineering Variance Autocovariance Bootstrapping Statistics Covariance and correlation Data analysis
365	Ch.3 Canonical correlation analysis (CCA) [Book, Sect[removed]With 2 sets of variables {xi } and {yj }, canonical correlation analysis (CCA), first introduced by Hotelling (1936), finds the linear modes of maximum correlat Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-08-27 00:35:14 Algebra of random variables Canonical correlation Covariance Statistics Covariance and correlation Multivariate statistics
366	Ch.1 Correlation & Regression 1.1 Mean and Variance [Book, Sect.1.1, 1.2] Let x be a random variable which takes on discrete values. For example, x can be the outcome of a die cast, where the possible values are xi = i, Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-08-04 13:56:58 Probability theory Summary statistics Statistical dependence Variance Covariance Correlation and dependence Standard deviation Normal distribution Sample mean and sample covariance Statistics Covariance and correlation Data analysis
367	Canonical Correlation Clarified by Singular Value Decomposition William H. Press May 28, 2011 The Setup You have a number n of data points, each one of which is a paired measurement Add to Reading List Source URL: nr.com Language: English - Date: 2011-05-28 14:30:36 Numerical linear algebra Matrix theory Multivariate statistics Covariance and correlation Singular value decomposition Canonical correlation Principal component analysis Matrix Variance Algebra Linear algebra Mathematics
368	Chapter 4: Formulating the Predictor Variables Chapter 3 focused on the construction of a gridded daily rainfall dataset, which will form the response variable in the statistical model that is the goal of this thesis. Th Add to Reading List Source URL: www.cru.uea.ac.uk Language: English - Date: 2009-12-22 04:43:50 Data analysis Multivariate statistics Singular value decomposition Abstract algebra Linear algebra Principal component analysis Eigenvalues and eigenvectors Covariance matrix Variance Statistics Algebra Mathematics
369	Meta-Analysis of Chinese Business Cycle Correlation Jarko Fidrmuc Zeppelin University Friedrichshafen and Iikka Korhonen Bank of Finland Institute for Economies in Transition Add to Reading List Source URL: www.hkimr.org Language: English - Date: 2015-03-10 22:15:15 Covariance and correlation Meta-analysis Systematic review Sociology Correlation and dependence Science Medical statistics Methodology
370	694 Journal of the American Statistical Association, June 2009 Discussion Boaz NADLER Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2009-06-16 05:02:26 Data analysis Singular value decomposition Covariance and correlation Principal component analysis Linear algebra Eigenvalues and eigenvectors Covariance matrix Matrix Variance Statistics Algebra Multivariate statistics

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