Multiblock analysis of environmental measurements: A case study of using Proton Induced X-ray Emission and meteorology dataset obtained from Islamabad Pakistan
暂无分享,去创建一个
Richard G. Brereton | Shahida Waheed | Mohd Zuli Jaafar | Shahzada Adnan | Naila Siddique | R. Brereton | N. Siddique | A. Khan | A. Markwitz | Andreas Markwitz | S. Waheed | Azmat Hayyat Khan | M. Jaafar | S. Adnan | Shahzada Adnan
[1] Erik Johansson,et al. Megavariate Analysis of Environmental QSAR Data. Part II – Investigating Very Complex Problem Formulations Using Hierarchical, Non-Linear and Batch-Wise Extensions of PCA and PLS , 2006, Molecular Diversity.
[2] L. E. Wangen,et al. A theoretical foundation for the PLS algorithm , 1987 .
[3] John L. Campbell,et al. PIXE: A Novel Technique for Elemental Analysis , 1988 .
[4] A. Jaworski,et al. Application of Multiblock and Hierarchical PCA and PLS Models for Analysis of AC Voltammetric Data , 2005 .
[5] J. Gower. Generalized procrustes analysis , 1975 .
[6] A. Hope. A Simplified Monte Carlo Significance Test Procedure , 1968 .
[7] S. de Jong,et al. A framework for sequential multiblock component methods , 2003 .
[8] José Manuel Andrade,et al. Procrustes rotation in analytical chemistry, a tutorial , 2004 .
[9] Sheldon Landsberger,et al. Characterization of the Gent Stacked Filter Unit PM10 Sampler , 1997 .
[10] P. Hopke,et al. Multi-element Analysis and Characterization of Atmospheric Particulate Pollution in Dhaka , 2006 .
[11] S. Wold,et al. Partial Least Squares (PLS) in Cheminformatics , 2008 .
[12] Theodora Kourti,et al. Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start‐ups and grade transitions , 2003 .
[13] W G Kreyling,et al. Sources and elemental composition of ambient PM(2.5) in three European cities. , 2005, The Science of the total environment.
[14] A. Höskuldsson. PLS regression methods , 1988 .
[15] William J. Teesdale,et al. The Guelph PIXE software package II , 1989 .
[16] Yizeng Liang,et al. Preprocessing of analytical profiles in the presence of homoscedastic or heteroscedastic noise , 1994 .
[17] Maria E. Holmboe,et al. Monte-Carlo methods for determining optimal number of significant variables. Application to mouse urinary profiles , 2009, Metabolomics.
[18] J. Westerhuis,et al. Multivariate modelling of the pharmaceutical two‐step process of wet granulation and tableting with multiblock partial least squares , 1997 .
[19] Erik Johansson,et al. Megavariate analysis of environmental QSAR data. Part I – A basic framework founded on principal component analysis (PCA), partial least squares (PLS), and statistical molecular design (SMD) , 2006, Molecular Diversity.
[20] Mohd Suhaimi Hamzah,et al. Urban air quality in the Asian region. , 2008, The Science of the total environment.
[21] A. Markwitz,et al. AIR PARTICULATE RESEARCH CAPABILITY AT THE NEW ZEALAND ION BEAM ANALYSIS FACILITY USING PIXE AND IBA TECHNIQUES , 2005 .
[22] Age K. Smilde,et al. Real-life metabolomics data analysis : how to deal with complex data ? , 2010 .
[23] Achmad Hidayat,et al. Sources identification of the atmospheric aerosol at urban and suburban sites in Indonesia by positive matrix factorization. , 2008, The Science of the total environment.
[24] S. Wold,et al. Multi‐way principal components‐and PLS‐analysis , 1987 .
[25] S. Wold. Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .
[26] José C. Menezes,et al. Multiblock PLS as an approach to compare and combine NIR and MIR spectra in calibrations of soybean flour , 2005 .
[27] A. Smilde,et al. Deflation in multiblock PLS , 2001 .
[28] D. Penn,et al. Comparison of human axillary odour profiles obtained by gas chromatography/mass spectrometry and skin microbial profiles obtained by denaturing gradient gel electrophoresis using multivariate pattern recognition , 2007, Metabolomics.
[29] Yu Song,et al. Source apportionment of PM2.5 in Beijing using principal component analysis/absolute principal component scores and UNMIX. , 2006, The Science of the total environment.
[30] John C. Gower,et al. Better biplots , 2009, Comput. Stat. Data Anal..
[31] Johnny Ferraz Dias,et al. Elemental composition of PM10 and PM2.5 in urban environment in South Brazil , 2005 .
[32] Milt Statheropoulos,et al. Principal component and canonical correlation analysis for examining air pollution and meteorological data , 1998 .
[33] A. Malik,et al. Multi-Block Data Modeling for Characterization of Soil Contamination: A Case Study , 2007 .
[34] P. Robert,et al. A Unifying Tool for Linear Multivariate Statistical Methods: The RV‐Coefficient , 1976 .
[35] Richard G. Brereton,et al. Pattern Recognition of Gas Chromatography Mass Spectrometry of Human Volatiles in Sweat to distinguish the sex of subjects and determine potential Discriminatory Marker Peaks , 2007 .
[36] Richard G. Brereton,et al. Chemometrics for Pattern Recognition , 2009 .
[37] Ketil Svinning,et al. Modelling of multi‐block data , 2006 .
[38] R. Brereton,et al. Self-organizing map quality control index. , 2010, Analytical Chemistry.
[39] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[40] Richard G. Brereton,et al. Applied Chemometrics for Scientists , 2007 .
[41] B. Kowalski,et al. Partial least-squares regression: a tutorial , 1986 .
[42] Paul Geladi,et al. Principal Component Analysis , 1987, Comprehensive Chemometrics.
[43] D. Cohen,et al. Elemental analysis by PIXE and other IBA techniques and their application to source fingerprinting of atmospheric fine particle pollution , 1996 .
[44] J. E. Jackson. A User's Guide to Principal Components , 1991 .
[45] Barry Lennox,et al. Monitoring a complex refining process using multivariate statistics , 2008 .
[46] L. E. Wangen,et al. A multiblock partial least squares algorithm for investigating complex chemical systems , 1989 .
[47] Alberto Ferrer,et al. Batch process diagnosis: PLS with variable selection versus block-wise PCR , 2004 .
[48] J. Leathwick,et al. A Procedure for Making Optimal Selection of Input Variables for Multivariate Environmental Classifications , 2007, Conservation biology : the journal of the Society for Conservation Biology.
[49] Martin Andersson,et al. A comparison of nine PLS1 algorithms , 2009 .
[50] Desire L. Massart,et al. Multiple factor analysis in environmental chemistry , 2005 .
[51] D. V. Byrne,et al. Selection of a subset of variables: minimisation of Procrustes loss between a subset and the full set , 2002 .
[52] Roy M. Harrison,et al. Size distributions of trace metals in atmospheric aerosols in the United Kingdom , 2001 .
[53] V. E. Vinzi,et al. PLS regression, PLS path modeling and generalized Procrustean analysis: a combined approach for multiblock analysis , 2005 .
[54] J. Macgregor,et al. Analysis of multiblock and hierarchical PCA and PLS models , 1998 .
[55] Javier Andrade,et al. Procrustes Rotation as a Way To Compare Different Sampling Seasons in Soils , 1995 .
[56] A. Smilde,et al. Multiblock PLS analysis of an industrial pharmaceutical process , 2002, Biotechnology and bioengineering.