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Mathematical statistics; Data processing

Most popular at the top

  • Handbook of Statistical Analyses Using Stata, Fourth Editionby Brian S. Everitt; Sophia Rabe-Hesketh

    CRC Press 2006; US$ 79.95

    ?Diane Berry (University College London), Journal of the Royal Statistical Society ??The book is clearly written and it provides a good introduction to the Stata language. ? The book excels in giving very clear and concise descriptions of a number of important, modern statistical methodologies. ?? ?Michael Evans (University of Toronto),... more...

  • R Quick Syntax Referenceby Margot Tollefson

    Apress 2014; US$ 13.99

    Promotes the flexibility and creativity that using R gives to the data analyst by making it easier to use R. Gives an easy, step by step approach to the structure of the R tool itself, making clearer how the pieces of R fit together Leaves readers able to install R and run functions in R, as well as manage R files on their operating system.... more...

  • Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Proceduresby Charlie Chunhua Liu

    CRC Press 2015; US$ 59.95

    "This is a nice reference for someone wanting to go beyond the basics of graphics, especially if they want to make one of the graph types discussed. While different subject areas are represented, most examples are medical in nature." ?David A. Dickey, Department of Statistics, North Carolina State University "SAS programmers looking to master SAS... more...

  • R Graphs Cookbookby Jaynal Abedin; Hrishi V. Mittal

    Packt Publishing 2014; US$ 32.99

    Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries. more...

  • Handbook of Statisticsby Marepalli B. Rao; C.R. Rao

    Elsevier Science 2014; US$ 250.00

    R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily... more...

  • Statistical Data Analysis and Inferenceby Y. Dodge

    Elsevier Science 2014; US$ 72.95

    A wide range of topics and perspectives in the field of statistics are brought together in this volume. The contributions originate from invited papers presented at an international conference which was held in honour of C. Radhakrishna Rao, one of the most eminent statisticians of our time and a distinguished scientist. more...

  • Statistical Computationby Roy C. Milton; John A. Nelder

    Elsevier Science 2014; US$ 72.95

    Statistical Computation covers the proceedings of a conference held at the University of Wisconsin in Madison, Wisconsin on April 28-30, 1969. The book focuses on the methodologies, techniques, principles, and approaches involved in statistical computation. The selection first elaborates on the description of data structures for statistical computing,... more...

  • R High Performance Programmingby Aloysius Lim; William Tjhi

    Packt Publishing 2015; US$ 17.99

    This book is for programmers and developers who want to improve the performance of their R programs by making them run faster with large data sets or who are trying to solve a pesky performance problem. more...

  • R Data Visualization Cookbookby Atmajitsinh Gohil

    Packt Publishing 2015; US$ 26.99

    If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected. more...

  • Mastering Scientific Computing with Rby Paul Gerrard; Radia M. Johnson

    Packt Publishing 2015; US$ 29.99

    If you want to learn how to quantitatively answer scientific questions for practical purposes using the powerful R language and the open source R tool ecosystem, this book is ideal for you. It is ideally suited for scientists who understand scientific concepts, know a little R, and want to be able to start applying R to be able to answer empirical... more...