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Multivariate analysis

  • Topics in Modelling of Clustered Databy Marc Aerts; Geert Molenberghs; Louise M. Ryan; Helena Geys

    Taylor and Francis 2002; US$ 146.95

    Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the contributions of leading specialists in the field, Topics in Modelling of Clustered Data describes the tools and techniques for modelling the clustered data often encountered in medical, biological, environmental, and social... more...

  • Data Clusteringby Charu C. Aggarwal; Chandan K. Reddy

    Taylor and Francis 2013; US$ 99.95

    Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data... more...

  • An Introduction to Categorical Data Analysisby Alan Agresti

    John Wiley & Sons, Inc. 2007; US$ 160.95

    Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." — Short Book Reviews "Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing,... more...

  • Categorical Data Analysisby Alan Agresti

    Wiley 2013; US$ 150.00

    Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." — Statistics in Medicine "It is a total delight reading this book." — Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference." — Technometrics... more...

  • Analysis of Ordinal Categorical Databy Alan Agresti

    Wiley 2012; US$ 146.00

    Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction... more...

  • Categorical Data Analysisby Alan Agresti

    John Wiley & Sons, Inc. 2003; US$ 170.00

    Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference "A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis." – Statistics in Medicine on... more...

  • An Introduction to Order Statisticsby Mohammad Ahsanullah; Valery B Nevzorov; Mohammad Shakil

    Springer 2013; US$ 69.95

    A lot of statisticians, actuarial mathematicians , reliability engineers, meteorologists, hydrologists, economists. Business and sport analysts deal with order statistics which play an important role in various fields of statistics and its application. This book enables a reader to check his/her level of understanding of the theory of order statistics.... more...

  • Recent Advances and Trends in Nonparametric Statisticsby M.G. Akritas; D.N. Politis

    Elsevier Science 2003; US$ 142.00

    The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime... more...

  • Regression and the Moore-Penrose pseudoinverseby Albert

    Elsevier Science 1972; US$ 68.00

    Regression and the Moore-Penrose pseudoinverse more...

  • Exploratory Analysis of Spatial and Temporal Databy Natalia Andrienko

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 279.00

    Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. more...