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Mathematical statistics; Data processing

Most popular at the top

  • Using R for Introductory Statisticsby John Verzani

    Chapman & Hall/CRC 2004; US$ 49.95

    R is a free software package that has seen a huge increase in users within the last five years and now is used increasingly in introductory classes. There are few books covering introductory statistics using R, and this book fills a gap as a true ...beginner... book. With emphasis on data analysis and practical examples Using R for Introductory Statistics encourages understanding rather than focusing on learning the underlying language. It includes a large collection of problem sets with solutions and numerous practical examples from a broad range of scientific disciplines. It comes complete with an online resource containing datasets, R functions, and updates to the latest features. more...

  • Computational Methods in Statistics and Econometricsby Hisashi Tanizaki

    Marcel Dekker Inc 2004; US$ 99.95

    Reflecting current technological capacities and analytical trends, this book/CD-ROM package showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. Tanizaki (economics, Kobe University, Japan) reviews int more...

  • A Handbook of Statistical Analyses Using Rby Brian S. Everitt

    CRC Press 2006; US$ 49.95

    R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory... more...

  • Computational Statistics Handbook with MATLABby Wendy L. Martinez

    CRC Press 2001; US$ 94.95

    Focusing on the computational aspects of statistics, this handbook seeks to make statistics accessible to a range of users. The authors integrate the use of MATLAB throughout the text, demonstrating the actual implementation of algorithms. They also include procedures for any suitable software. more...

  • Data Analysis of Asymmetric Structuresby Takayuki Saito

    CRC Press 2004; US$ 99.95

    This book provides a comprehensive presentation of models and theories for the analysis of asymmetry and its applications, providing a wealth of new approaches in every section to meet the practical and theoretical needs of research professionals. more...

  • Data Analysis and Graphics Using Rby John Maindonald; John Braun

    Cambridge University Press 2006; US$ 75.00

    Hands-on guide to the R system for data analysis for scientists, students and practising statisticians. more...

  • The R Bookby Michael J. Crawley

    John Wiley & Sons, Ltd. 2007; US$ 110.00

    The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author’s bestselling Statistics: An Introduction using R , The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R... more...

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

    Springer-Verlag New York Inc 2005; US$ 98.00

    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...

  • Compstat 2006 - Proceedings in Computational Statisticsby Alfredo Rizzi; Maurizio Vichi

    Springer 2006; US$ 159.00

    Provides the developments in data analysis and statistical multivariate methods, computational statistics and algorithms, including topics which are of central interest to modern statistics. This book offers advanced methodologies and computational methods which are very helpful to analyze real phenomena characterized by large data bases. more...

  • Applied Statistics Using SPSS, STATISTICA, MATLAB and Rby Joaquim P. Marques De Sá

    Springer 2007; US$ 109.00

    This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets. Readers learn which software tools to apply and gain insights into the comparative... more...