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Multivariate analysis

Most popular at the top

  • Semiparametric Regression for the Social Sciencesby Luke John Keele

    Wiley 2008; US$ 87.00

    An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of carefully explained examples and data sets. It also demonstrates the potential of these techniques using detailed empirical examples drawn from the social and political sciences. Each chapter includes... more...

  • Confidence Intervals in Generalized Regression Modelsby Esa Uusipaikka

    Taylor and Francis 2008; US$ 115.95

    A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation?the generalized regression model (GRM)?of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical... more...

  • Constrained Clusteringby Sugato Basu; Ian Davidson; Kiri Wagstaff

    Taylor and Francis 2008; US$ 98.95

    Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and Applications presents an extensive... more...

  • Multivariable Model - Buildingby Patrick Royston; Willi Sauerbrei

    Wiley 2008; US$ 141.00

    Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. The main emphasis is on the fractional polynomial method for modeling the influence of continuous variables... more...

  • Modélisation et statistique spatiales (Mathématiques et Applications) (French Edition)by Carlo Gaetan; Xavier Guyon

    Springer 2008; US$ 69.95

    La statistique spatiale connaît un développement important du fait de son utilisation dans de nombreux domaines : sciences de la terre, environnement et climatologie, épidémiologie, économétrie, analyse d?image, etc? Ce livre présente les principaux modèles spatiaux utilisés ainsi que leur statistique pour les trois types de données : géostatistiques... more...

  • Nonparametric Functional Data Analysisby Frédéric Ferraty; Philippe Vieu

    Springer 2006; US$ 149.00

    Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. more...

  • Nonlinear Regression with Rby Kurt Hornik; Giovanni Parmigiani

    Springer 2009; US$ 79.95

    R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. This book provides a coherent treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology. more...

  • Programma-Algebra, een inleiding tot de programmatuurby Alban Ponse; Inge Bethke

    Amsterdam University Press 2003; US$ 29.00

    In dit boek wordt Programma-Algebra (PGA) geïntroduceerd als een algebra die een (extreem) eenvoudige vorm van programmeren karakteriseert. Vervolgens wordt PGA voorzien van een semantiek in termen van gedragsexpressies. PGA heeft één parameter, namelijk een verzameling basisinstructies (of 'acties' in termen van gedrag). Deze simpele aanpak... more...

  • Models for Discrete Databy Daniel Zelterman

    Oxford University Press, UK 2006; US$ 109.99

    This revised edition illustrates the statistical analysis of data using computer programs in SAS, a widely used software package in the health sciences. Many numerical examples are provided to illustrate the methods and these are discussed along with the corresponding computer output. Several new datasets are included, mostly from the health and medical... more...

  • Functional Data Analysis with R and MATLABby James Ramsay; Giles Hooker; Spencer Graves

    Springer 2009; US$ 69.95

    Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This title provides computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. more...