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Mathematical statistics; Data processing

Most popular at the top

  • 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...

  • Computation for the Analysis of Designed Experimentsby Richard Heiberger

    Wiley 2015; US$ 253.00

    Addresses the statistical, mathematical, and computational aspects of the construction of packages and analysis of variance (ANOVA) programs. Includes a disk at the back of the book that contains all program codes in four languages, APL, BASIC, C, and FORTRAN. Presents illustrations of the dual space geometry for all designs, including confounded designs. more...

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

    Springer-Verlag New York Inc 2006; US$ 169.00

    Teaches the basics of S-PLUS Version 7.0 for people with little computing or statistical knowledge. This book demonstrates the important concepts of S-PLUS and R, its companion in implementing the S language. It also offers a guided tour of interactive computing, data exploration, and statistical analysis. more...

  • Data Manipulation with Rby Phil Spector

    Springer 2008; US$ 79.95

    Everyone using R needs to work with data, data almost always comes from an external source that has to be imported into R. The tasks covered in this book are essential tasks in R. more...

  • Dynamic Linear Models with Rby Patrizia Campagnoli; Sonia Petrone; Giovanni Petris

    Springer 2009; US$ 79.95

    State space models have gained tremendous popularity in as disparate fields as engineering, economics, genetics and ecology. Introducing general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. It illustrates the fundamental steps needed to use dynamic linear models in practice, using R package. more...

  • Theory and Applications of Gaussian Quadrature Methodsby Narayan Kovvali

    Morgan & Claypool Publishers 2011; US$ 35.00

    Gaussian quadrature is a powerful technique for numerical integration that falls under the broad category of spectral methods. The purpose of this work is to provide an introduction to the theory and practice of Gaussian quadrature. We study the approximation theory of trigonometric and orthogonal polynomials and related functions and examine the analytical... more...

  • Behavioral Research Data Analysis with Rby Yuelin Li; Jonathan Baron

    Springer 2011; US$ 59.95

    This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical... more...

  • R by Exampleby Jim Albert; Maria Rizzo

    Springer 2012; US$ 64.95

    R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using... more...