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Multivariate analysis

Most popular at the top

  • Regression Analysisby Rudolf J. Freund; William J. Wilson; Ping Sa

    Elsevier Science 2006; US$ 108.00

    The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes... more...

  • Simultaneous Inference in Regressionby Wei Liu

    Taylor and Francis 2010; US$ 104.95

    Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of simultaneous confidence bands for various inferential... more...

  • Models of Category Countsby B. Fingleton

    Cambridge University Press 1984; US$ 40.00

    In this textbook, first published in 1984, Dr Fingleton describes some techniques centred on the log-linear model from the perspective of the social, behavioural and environmental scientist. more...

  • Ranking and Prioritization for Multi-indicator Systemsby Rainer Brüggemann; Ganapati P. Patil

    Springer 2011; US$ 149.00

    This book provides axioms of partial order and some basic material, for example consequences of "criss-crossing" of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods in partial order analysis and what 'antagonistic indicator'... more...

  • Building Data Science Teamsby DJ Patil

    O'Reilly Media 2011; US$ 0.00

    As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be "data driven." The unique roles of... more...

  • Alternative Methods of Regressionby David Birkes; Yadolah Dodge

    Wiley 2011; US$ 216.00

    Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ".an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models."... more...

  • NONPARAMETRIC STATISTICAL METHODS AND RELATED TOPICSby F. J. Samaniego; J. Jiang

    World Scientific Publishing Company 2011; US$ 186.00

    This volume consists of 22 research papers by leading researchers in Probability and Statistics. Many of the papers are focused on themes that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting, linear model theory, Bayesian nonparametrics, change point problems,... more...

  • Introduction to Regression Analysisby M. GOLBERG; H.A. CHO

    WIT Press 2003; US$ 310.00

    This book is an introduction to regression analysis for upper division and graduate students in science, engineering, social science and medicine. The emphasis is on the classical linear model using least squares estimation and inference. In addition, topics of current interest, such as regression diagnostics, ridge and logistic regression are treated... more...

  • Deconvolution Problems in Nonparametric Statisticsby Alexander Meister

    Springer 2009; US$ 99.00

    This book gives an introduction to deconvolution problems in nonparametric statistics, e.g. density estimation based on contaminated data, errors-in-variables regression, and image reconstruction. Some real-life applications are discussed while we mainly focus on methodology (description of the estimation procedures) and theory (minimax convergence... more...

  • Quantile Regression for Spatial Databy Daniel P. McMillen

    Springer 2012; US$ 49.95

    Quantile regression analysis differs from more conventional regression models in its emphasis on distributions. Whereas standard regression procedures show how the expected value of the dependent variable responds to a change in an explanatory variable, quantile regressions imply predicted changes for the entire distribution of the dependent variable.... more...