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Mathematical statistics; Data processing

Most popular at the top

  • Software for Data Analysisby John Chambers

    Springer 2008; US$ 129.00

    Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can... more...

  • Visualize Thisby Nathan Yau

    Wiley 2011; US$ 39.99

    Practical data design tips from a data visualization expert of the modern age Data doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear,... more...

  • The Stata Survival Manualby David Pevalin; Karen Robson

    McGraw-Hill Education 2009; US$ 57.00

    Offers you a step by step introduction to the basics of Stata software. This book helps you with manipulating and organizing data; generating statistics; interpreting results; and, presenting outputs. 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...

  • 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...

  • 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...

  • 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...