PCA model building with missing data: New proposals and a comparative study
暂无分享,去创建一个
[1] José Camacho,et al. Visualizing Big data with Compressed Score Plots: Approach and research challenges , 2014 .
[2] M. P. Gómez-Carracedo,et al. A practical comparison of single and multiple imputation methods to handle complex missing data in air quality datasets , 2014 .
[3] Alberto Ferrer,et al. Building covariance matrices with the desired structure , 2013 .
[4] Steven D. Brown,et al. Comparison of five iterative imputation methods for multivariate classification , 2013 .
[5] Constantine Caramanis,et al. Robust PCA via Outlier Pursuit , 2010, IEEE Transactions on Information Theory.
[6] Patrick Royston,et al. Multiple imputation using chained equations: Issues and guidance for practice , 2011, Statistics in medicine.
[7] Juha Karhunen,et al. Robust PCA Methods for Complete and Missing Data , 2011 .
[8] Rodrigo López‐Negrete de la Fuente,et al. An efficient nonlinear programming strategy for PCA models with incomplete data sets , 2010 .
[9] Alberto Ferrer,et al. How to simulate normal data sets with the desired correlation structure , 2010 .
[10] Sven Serneels,et al. Principal component analysis for data containing outliers and missing elements , 2008, Comput. Stat. Data Anal..
[11] M Daszykowski,et al. Dealing with missing values and outliers in principal component analysis. , 2007, Talanta.
[12] Lorenz T. Biegler,et al. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming , 2006, Math. Program..
[13] Alberto Ferrer,et al. Framework for regression‐based missing data imputation methods in on‐line MSPC , 2005 .
[14] D. Altman,et al. Missing data , 2007, BMJ : British Medical Journal.
[15] A. Ferrer,et al. Dealing with missing data in MSPC: several methods, different interpretations, some examples , 2002 .
[16] Philip R. Nelson,et al. The Treatment Of Missing Measurements In PCA And PLS Models , 2002 .
[17] D. Massart,et al. Dealing with missing data: Part II , 2001 .
[18] D. Massart,et al. Dealing with missing data , 2001 .
[19] T. Schneider. Analysis of Incomplete Climate Data: Estimation of Mean Values and Covariance Matrices and Imputation of Missing Values. , 2001 .
[20] R. Manne,et al. Missing values in principal component analysis , 1998 .
[21] Scott A Hutzler,et al. Remote Near-Infrared Fuel Monitoring System , 1997 .
[22] Joseph L Schafer,et al. Analysis of Incomplete Multivariate Data , 1997 .
[23] Gene H. Golub,et al. Regularization by Truncated Total Least Squares , 1997, SIAM J. Sci. Comput..
[24] P. A. Taylor,et al. Missing data methods in PCA and PLS: Score calculations with incomplete observations , 1996 .
[25] Barry M. Wise,et al. RECENT ADVANCES IN MULTIVARIATE STATISTICAL PROCESS CONTROL: IMPROVING ROBUSTNESS AND SENSITIVITY , 1991 .
[26] Roger A. Sugden,et al. Multiple Imputation for Nonresponse in Surveys , 1988 .
[27] W J Krzanowski,et al. Missing value imputation in multivariate data using the singular value decomposition of a matrix , 1988 .
[28] C. N. Morris,et al. The calculation of posterior distributions by data augmentation , 1987 .
[29] Silvia Lanteri,et al. Classification of olive oils from their fatty acid composition , 1983 .