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Mathematical statistics; Data processing

Most popular at the top

  • Numerical Issues in Statistical Computing for the Social Scientistby Micah Altman; Jeff Gill; Michael P. McDonald

    Wiley 2004; US$ 163.00

    At last—a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to... more...

  • SAS Essentialsby Alan C. Elliott; Wayne A. Woodward

    Wiley 2010; US$ 58.00

    SAS Essentials provides an introduction to SAS statistical software, the premiere statistical data analysis tool for scientific research. Through its straightforward approach, the text presents SAS with step-by-step examples. With over fifteen years of teaching SAS courses and over fifty combined years of teaching and consulting by the authors, this... more...

  • Data Analysis and Graphics Using Rby John Maindonald; W. John Braun

    Cambridge University Press 2010; US$ 68.00

    Hands-on guide to the R system for data analysis for scientists, students and practising statisticians. more...

  • Complex Surveysby Thomas Lumley

    Wiley 2011; US$ 85.00

    A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the... more...

  • 25 Recipes for Getting Started with Rby Paul Teetor

    O'Reilly Media 2011; US$ 14.99

    R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes... more...

  • Interactive LISREL in Practiceby Armando Luis Vieira

    Springer 2011; US$ 69.99

    INTERACTIVE LISREL IN PRACTICE: Getting Started with a SIMPLIS Approach is particularly appropriate for those users that are not experts in statistics, but have some basic notions of multivariate analysis that would allow them to use this handbook as a good first incursion on the realm of LISREL. Parte I introduces the topic, presents the study that... more...

  • Practical Statistical Methodsby Lakshmi Padgett

    Taylor and Francis 2011; US$ 87.95

    Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs... more...

  • The Essential R Referenceby Mark Gardener

    Wiley 2012; US$ 44.99

    An essential library of basic commands you can copy and paste into R The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and that's where this unique book... more...

  • The R Bookby Michael J. Crawley

    Wiley 2012; US$ 100.00

    Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has... 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...