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Multivariate Analysis of Ecological Data using CANOCO 10 August 2013 Jan Lep, Petr milauer, "Multivariate Analysis of Ecological Data using CANOCO"English | ISBN: 0521891086 | 2003 | PDF | 283 pages | 3,2 mb Multivariate statistical methods are described in this study and advice is given on how best to apply these methods using CANOCO software. Data sets and program files for the case studies are provided on a supporting website. Methods of Multivariate Analysis 9 August 2013 Methods of Multivariate AnalysisEnglish | 2012 | ISBN: 0470178965 | 800 pages | PDF | 16 MB Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. Applied Multivariate Data Analysis, 2nd Edition 15 July 2014 Brian S. Everitt, Graham Dunn, "Applied Multivariate Data Analysis, 2nd Edition" English | ISBN: 0470711175 | 2001 | 354 pages | PDF | 41 MB Aspects Of Multivariate Statistical Analysis In Geology - E.Savazzi 25 August 2010 Aspects Of Multivariate Statistical Analysis In Geology - E.SavazziPublisher: Elsevier Science | English | PDF | ISBN-10: 0444504125 | 250 pages | 11.1MB The book presents multivariate statistical methods useful in geological analysis. The essential distinction between multivariate analysis as applied to full-space data (measurements on lengths, heights, breadths etc.) and compositional data is emphasized with particular reference to geochemical data. Each of the methods is accompanied by a practically oriented computer program and backed up by appropriate examples. The computer programs are provided on a compact disk together with trial data-sets and examples of the output. Applied Multivariate Statistical Analysis 22 September 2013 Applied Multivariate Statistical AnalysisEnglish | 2012 | ISBN: 3642172288 | 533 pages | PDF | 6.4 MB Analysis of Incomplete Multivariate Data 5 July 2013 Analysis of Incomplete Multivariate DataEnglish | 444 pages | ISBN-10: 0412040611 | PDF | 6.77 MB The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Exploratory Data Analysis Using Fisher Information 27 December 2010 Roy Frieden, Robert A. Gatenby, "Exploratory Data Analysis Using Fisher Information" Springer | 2006 | ISBN: 1846285062 | 363 pages | PDF | 13,6 MB The basic goal of a research scientist is to understand a given, unknown system. This innovative book develops a systematic approach for achieving this goal. All science is ultimately dependent upon observation which, in turn, requires a flow of information. Fisher information, in particular, is found to provide the key to understanding the system. It is developed as a new tool of exploratory data analysis, and is applied to a wide scope of systems problems. These range from molecules in a gas to biological organisms in their ecologies, to the socio-economic organization of people in their societies, to the physical constants in the universe and, ultimately, to proto-universes in the multiverse. Multivariate Polysplines: Applications to Numerical and Wavelet Analysis 1 April 2011 Multivariate Polysplines: Applications to Numerical and Wavelet Analysis 2001 | 498 | ISBN: 0124224903 | DJVU | 5 Mb Multivariate polysplines are a new mathematical technique that has arisen from a synthesis of approximation theory and the theory of partial differential equations. It is an invaluable means to interpolate practical data with smooth functions.Multivariate polysplines have applications in the design of surfaces and "smoothing" that are essential in computer aided geometric design (CAGD and CAD/CAM systems), geophysics, magnetism, geodesy, geography, wavelet analysis and signal and image processing. In many cases involving practical data in these areas, polysplines are proving more effective than well-established methods, such as kKriging, radial basis functions, thin plate splines and minimum curvature. ... Shearlets: Multiscale Analysis for Multivariate Data (Applied and Numerical Harmonic Analysis) 28 February 2015 Shearlets: Multiscale Analysis for Multivariate Data (Applied and Numerical Harmonic Analysis) by Gitta KutyniokEnglish | 2012 | ISBN: 0817683151 | 346 Pages | PDF | 4 MB Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing an efficient means of encoding isotropic phenomena. Multivariate Image Analysis 30 September 2011 Multivariate Image Analysis 1997 | 330 | ISBN: 0471930016 | CHM | 5 Mb The quantity of visual information encountered experimentally by scientists across a wide range of fields has grown dramatically in recent years. As a result, the importance of dealing with multivariate data data obtained by measuring a number of different quantities simultaneously present in images has become much more important, and the requirement for techniques which are able to manage and analyse these data has become crucial for the practising scientist in many diverse disciplines. Multivariate Image Analysis gives the reader a sound understanding of the importance of, and the principles behind, multivariate image analysis. A short introduction to the image and its perception is followed by a discussion of some popular techniques of multivariate image formation, taken from fields such as microscopy, remote sensing and medical imaging. The principles behind one of the key multivariate techniques, principal components analysis, are thoroughly explained without going too far into the theory: The important concepts of residual visualization and local modelling are explained. Throughout, the power of the techniques discussed is demonstrated with the use of simple worked examples to illustrate the concepts, and more complex examples to indicate to the reader how a complete analysis would be carried out. The book is richly illustrated with colour images. Multivariate Image Analysis is of great interest to all those involved in the analysis of data contained in complex images. The techniques discussed are widely applicable, and are finding use in fields such as microscopy, satellite remote sensing, medical imaging, radiology, analytical chemistry, spectroscopy and astronomy. ... |