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Multivariate
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#	Item
321	Interacting with Massive Behavioral Data Shih-Chieh Su Qualcomm IncMorehouse Drive San Diego, CAUSA Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2016-07-22 15:05:22 Multivariate statistics Multidimensional scaling Dimensionality reduction Isomap T-distributed stochastic neighbor embedding Principal component analysis Algorithm Data visualization Nonlinear dimensionality reduction
322	PDF Document Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2016-08-03 01:16:36 Numerical linear algebra Linear algebra Matrix theory Multivariate statistics Dimension reduction Singular value decomposition Principal component analysis Matrix decomposition QR decomposition Rank Matrix Non-negative matrix factorization
323	Christiano FINC 520, Spring 2008 Homework 6, due Thursday, MayConsider the iid Normal stochastic process, {xt } , with Ext = μ and E (xt − μ)2 = σ 2 . Let μl = E (xt − μ)l denote the lth moment about the Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2008-05-17 12:29:25 Probability distributions Normal distribution Statistical theory Estimation theory Econometrics Bootstrapping T-statistic Generalized method of moments Sampling distribution Skewness Multivariate normal distribution Errors and residuals
324	MMDS 2012: Workshop on Algorithms for Modern Massive Data Sets Cubberley Auditorium Stanford University Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-04-27 02:58:51 Cybernetics Multivariate statistics Operations research Learning Machine learning Algorithm Support vector machine Mathematical optimization Big data Geographic information system Non-negative matrix factorization
325	1 Definitions variance = s2y = P Add to Reading List Source URL: www.grundrisse.org Language: English - Date: 2010-12-30 23:17:47 Covariance and correlation Algebra of random variables Variance Covariance Standard deviation Multivariate statistics Independence Yi script
326	Non-parametric Regression with Basis Selection from Multiple Libraries Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang ∗ Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2012-09-20 13:04:02 Regression analysis Statistical methods Model selection Machine learning Multivariate adaptive regression splines Econometrics Stepwise regression Akaike information criterion Smoothing spline Bayesian information criterion
327	Sparse Discriminant Analysis Line Clemmensen∗ Trevor Hastie∗∗ ∗ Department Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2012-03-16 04:43:45 Algebraic number theory Statistical classification Multivariate statistics Linear discriminant analysis Discriminant Matrix
328	Scaling PDIA through Broad Agency Add to Reading List Source URL: bsc.cid.harvard.edu Language: English - Date: 2016-05-03 11:45:15 Psychometrics Market research Multivariate statistics Burkina Faso Economic Community of West African States Scaling Scale Sustainability Internal audit Multidimensional scaling Audit Change management
329	CE 397 Statistics in Water Resources Exercise 9 Geostatistical Analysis Add to Reading List Source URL: www.ce.utexas.edu Language: English - Date: 2009-04-09 18:54:31 Geostatistics Interpolation Multivariate interpolation Kriging Variogram Spatial analysis Spatial dependence ArcGIS Regression analysis Semivariance Inverse distance weighting Georges Matheron
330	ARTICLE IN PRESS Computers & Geosciences–1018 www.elsevier.com/locate/cageo A Java-based intelligent advisor for selecting a contextappropriate spatial interpolation algorithm$,$$ Add to Reading List Source URL: www.geog.ucsb.edu Language: English - Date: 2005-02-02 12:06:11 Geostatistics Interpolation Multivariate interpolation Cartography Geography Spatial analysis Usability Kriging Data analysis User interface Geographic information system Inverse distance weighting

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