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Mathematical statistics; Data processing

Most popular at the top

  • Data Analysis of Asymmetric Structuresby Takayuki Saito; Hiroshi Yadohisa

    Taylor and Francis 2004; US$ 129.95

    Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research professionals across a wide range of disciplines and  considers... more...

  • A Handbook of Statistical Analyses Using Rby Torsten Hothorn; Brian S. Everitt

    Taylor and Francis 2006; US$ 55.95

    R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA,... more...

  • The R Bookby Michael J. Crawley

    Wiley 2007; US$ 130.00

    The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging... more...

  • Programmieren mit R (Statistik und ihre Anwendungen) (German Edition)by Uwe Ligges

    Springer 2007; US$ 39.95

    R ist eine objekt-orientierte und interpretierte Sprache und Programmierumgebung für Datenanalyse und Grafik. Dieses Buch führt ausführlich in die Grundlagen von R ein. Außerdem vermittelt es eingängig die Struktur der Sprache und ermöglicht es so dem Leser, leicht eigene Methoden umzusetzen, Objektklassen zu definieren und ganze Pakete aus Funktionen... more...

  • Compstat 2006 - Proceedings in Computational Statisticsby Alfredo Rizzi; Maurizio Vichi

    Springer 2007; US$ 169.00

    Provides the developments in data analysis and statistical multivariate methods, computational statistics and algorithms, including topics which are of central interest to modern statistics. This book offers advanced methodologies and computational methods which are very helpful to analyze real phenomena characterized by large data bases. more...

  • Applied Econometrics with Rby Christian Kleiber; Achim Zeileis

    Springer 2008; US$ 79.95

    Offers an introduction to the R system for users with a background in economics. This book covers a variety of regression models, regression diagnostics and robustness issues, the nonlinear models of microeconomics, time series and time series econometrics. more...

  • A First Course in Statistical Programming with Rby W. John Braun; Duncan J. Murdoch

    Cambridge University Press 2007; US$ 44.00

    The only introduction you'll need to start programming in R. more...

  • R for SAS and SPSS Usersby Robert A. Muenchen

    Springer 2008; US$ 74.95

    R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. more...

  • Understanding Statistical Concepts Using S-plusby Randall E. Schumacker; Allen Akers

    Taylor and Francis 2001; US$ 88.95

    Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a set of objectives and a summary. The... more...

  • Computational Statisticsby Springer

    Springer 2009; US$ 99.00

    Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide... more...