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Mathematical statistics; Data processing

Most popular at the top

  • 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...

  • Problem Solving and Data Analysis Using Minitabby Rehman M. Khan

    Wiley 2013; US$ 83.00

    Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through... more...

  • Probabilityby Robert P. Dobrow

    Wiley 2013; US$ 135.00

    An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability. With real-life examples and thoughtful... more...

  • Survival Analysis Using Sby Mara Tableman; Jong Sung Kim

    Taylor and Francis 2003; US$ 109.95

    Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability and statistics, and a course in applied linear regression... more...

  • Computational Methods in Statistics and Econometricsby Hisashi Tanizaki

    Taylor and Francis 2004; US$ 125.95

    Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. The author explores applications of Monte Carlo methods in Bayesian estimation,... more...

  • Data Analysis of Asymmetric Structuresby Takayuki Saito; Hiroshi Yadohisa

    Taylor and Francis 2004; US$ 129.95

    Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research professionals across a wide range of disciplines and  considers... more...

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

    Cambridge University Press 2006; US$ 68.00

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

  • The R Bookby Michael J. Crawley

    Wiley 2007; US$ 130.00

    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... more...

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

    Springer 2007; US$ 169.00

    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...

  • Statistics and Data with Rby Yosef Cohen; Jeremiah Y. Cohen

    Wiley 2008; US$ 109.00

    R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including Medicine,... more...