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Mathematical statistics; Data processing

Most popular at the top

  • The Art of R Programmingby Norman Matloff

    No Starch Press 2011; US$ 31.95

    R is the world’s most popular programming language for statistical computing. Drug developers use it to evaluate clinical trials and determine which medications are safe and effective; archaeologists use it to sift through mounds of artifacts and track the spread of ancient civilizations; and actuaries use it to assess financial risks and keep... more...

  • Beginning Rby Larry Pace

    Springer 2012; US$ 27.99

    Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available... more...

  • Advanced Basic Meta-analysisby Brian Mullen

    Taylor and Francis 2013; US$ 60.00

    First Published in 1989. Routledge is an imprint of Taylor & Francis, an informa company. more...

  • Instant R Starterby Donato Teutonico

    Packt Publishing 2013; US$ 14.99

    Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks.A practical, quick, and hands-on guide to the R language.This book is for people who are interested in an introduction to the R environment. You will not need any specific knowledge of programming or... more...

  • Minitab Cookbookby Isaac Newton

    Packt Publishing 2014; US$ 32.99

    This practical cookbook covers a broad range of topics in an easy-to-understand manner. Step-by-step instructions guide you through even the most complicated of tools in Minitab.This book is great for anyone who is familiar with statistics and who wants to learn how Minitab works. Whilst you do not need to be an expert in all areas of statistics, you... more...

  • Big Data Analytics with R and Hadoopby Vignesh Prajapati

    Packt Publishing 2013; US$ 29.99

    Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications... more...

  • Data Manipulation with Rby Jaynal Abedin

    Packt Publishing 2014; US$ 17.99

    This book is a step-by step, example-oriented tutorial that will show both intermediate and advanced users how data manipulation is facilitated smoothly using R.This book is aimed at intermediate to advanced level users of R who want to perform data manipulation with R, and those who want to clean and aggregate data effectively. Readers are expected... more...

  • Bioinformatics with R Cookbookby Paurush Praveen Sinha

    Packt Publishing 2014; US$ 32.99

    This book is an easy-to-follow, stepwise guide to handle real life Bioinformatics problems. Each recipe comes with a detailed explanation to the solution steps. A systematic approach, coupled with lots of illustrations, tips, and tricks will help you as a reader grasp even the trickiest of concepts without difficulty. This book is ideal for computational... more...

  • R Quick Syntax Referenceby Margot Tollefson

    Springer 2014; US$ 13.99

    The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference makes using R easier.Starting... more...

  • Numerical Methods of Statisticsby John F. Monahan

    Cambridge University Press 2001; US$ 52.00

    This 2001 book provides a basic background in numerical analysis and its applications in statistics. more...