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Mathematical statistics; Data processing

  • 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...

  • Advanced Basic Meta-analysisby Brian Mullen

    Taylor and Francis 2013; US$ 47.95

    In response to the growing emphasis on precision in the summarization and integration of research literature, Advanced BASIC Meta-Analysis presents an overview of strategies, techniques, and procedures used in meta-analysis. The book and software provide an integrated and comprehensive combination of meta-analytic tools for the statistical integration... more...

  • Advanced Lectures in Quantitative Economicsby Frederick van Der Ploeg

    Elsevier Science 2014; US$ 93.95

    Advanced Lectures in Quantitative Economics summarizes some of the efforts of a second-phase program for first-rate candidates with a Master's degree in economics who wish to continue with a doctoral degree in quantitative economics. This book is organized into three main topics-macroeconomics, microeconomics, and econometrics. This text specifically... more...

  • Advanced Rby Hadley Wickham

    CRC Press 2015; US$ 59.95

    An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R.... more...

  • Applied Econometrics with Rby Christian Kleiber; Achim Zeileis

    Springer New York 2008; Not Available

    Here is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of models, from classical linear regression models for cross-section to recent semiparametric extensions. more...

  • Applied Statistics Using SPSS, STATISTICA, MATLAB and Rby Joaquim P. Marques de S

    Springer Berlin Heidelberg 2007; Not Available

    Four years have passed since the first edition of this book. During this time I have had the opportunity to apply it in classes obtaining feedback from students and inspiration for improvements. I have also benefited from many comments by users of the book. For the present second edition large parts of the book have undergone major revision, although... more...

  • The Basics of S and S-PLUSby Andreas Krause; Melvin Olson

    Springer New York 2008; US$ 99.00

    S-PLUS is a powerful tool for interactive data analysis, creating graphs, and implementing customized routines. Originating as the S language of AT&T Bell Laboratories, its modern language and flexibility make it appealing to data analysts from many scientific fields.This book explains the basics of S-PLUS in a clear style at a level suitable for people... more...

  • The Basics of S-PLUSby Andreas Krause; Melvin Olson

    Springer New York 2007; US$ 99.00

    In a clear style the most important ideas of S-PLUS are introduced through the use of many examples. Each chapter includes a collection of exercises, fully worked-out solutions and detailed comments. more...

  • The Basics of S-PLUSby Andreas Krause; Melvin Olson

    Springer New York 2006; Not Available

    Thisisnowthefourtheditionof?TheBasicsofS-Plus?since1997.S-Plus saw a steady growth in popularity, and it established itself in many edu- tional and business places as a major data analysis tool.S-Plus is valued for its modern, interactive data analysis environment, whether it is the p- mary system or a complement to other standards like SAS (the latter... more...

  • Beginning Rby Mark Gardener

    Wiley 2012; US$ 34.99

    Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and... more...