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Principal component regression
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221	Dimension reduction and visualization of histogram data using sliced inverse regression Han-Ming Wu1,* 1. Department of Mathematics, Tamkang University Contact author: [removed] Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English* - Date: 2014-05-21 03:02:56 Data analysis Non-parametric statistics Principal component analysis Singular value decomposition Sufficient dimension reduction Sliced inverse regression Dimension reduction Histogram Data visualization Statistics Multivariate statistics Regression analysis
222	IAENG International Journal of Applied Mathematics, 39:1, IJAM_39_1_06 ______________________________________________________________________________________ Sparse Linear Discriminant Analysis with Applications to High Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2009-02-17 12:13:25 Statistical classification Singular value decomposition Data analysis Regression analysis Linear discriminant analysis Principal component analysis Eigenvalues and eigenvectors Covariance matrix Multivariate normal distribution Statistics Algebra Multivariate statistics
223	Displaying empirical distributions of conditional quantile estimators: an application of principal component analysis and hierarchical clustering for intervals to the cost allocation problem in agriculture Dominique Desb Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English - Date: 2014-05-21 03:04:14 Quantile regression Statistical inference Data analysis Multivariate statistics Quantile Confidence interval Principal component analysis Statistics Econometrics Regression analysis
224	Rtips. Revival 2012! Paul E. Johnson June 8, 2012 The original Rtips started in[removed]It became difficult to update because of limitations in the software with which it was created. Now I know more ab Add to Reading List Source URL: www.uvm.edu Language: English - Date: 2013-05-13 16:47:32 Least squares Matrix State space Principal component analysis Partial least squares regression Statistics Regression analysis Econometrics
225	PDF Document Add to Reading List Source URL: www.stat.missouri.edu Language: English - Date: 2002-08-20 11:24:38 Singular value decomposition Normal distribution Gamma distribution Eigenvalues and eigenvectors Covariance matrix Principal component analysis Regression analysis Variance Kriging Statistics Algebra Data analysis
226	PDF Document Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2011-08-15 13:25:30 Evaluation methods Research methods Data analysis R DAP Linear regression Principal component analysis Statistics Information Science
227	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: science.nature.nps.gov Language: English - Date: 2008-04-08 15:38:09 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
228	TTRA 2012 For Tourism Yukon Marsh Lake Yukon www.DataPathSystems.net Add to Reading List Source URL: www.ttra.com Language: English - Date: 2013-02-13 10:00:26 Multivariate statistics CHAID Regression analysis Principal component analysis Segmentation Brand Yukon Memory segmentation Statistics Decision trees Data analysis
229	THE UNSCRAMBLER Powering The Adaptive Enterprise Statistical Software For Researchers Design and Analysis is quickly becoming a Add to Reading List Source URL: www.ddmcorp.com Language: English - Date: 2011-05-10 05:51:40 Computational chemistry Statistical methods Econometrics Scientific method The Unscrambler Chemometrics Partial least squares regression Principal component analysis Data analysis Statistics Science Regression analysis
230	Microsoft Word - Figure 1.docx Add to Reading List Source URL: stacks.cdc.gov Language: English - Date: 2014-08-14 07:53:11 Regression analysis Factor analysis Market research Psychometrics Variance Principal component analysis Normal distribution Explained variation Futures contract Statistics Data analysis Multivariate statistics