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Mathematical statistics; Data processing

Most popular at the top

  • 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...

  • Excel 2010 – Business Basics & Beyondby Chris Smitty Smith

    Holy Macro! Books 2012; US$ 19.99

    Microsoft Excel is one of the most powerful tools a business owner, manager, or new employee has at their disposal, and this guide teaches how to harness business data and put it to use. Using real-world examples of a small business in operation, the book covers topics such as preparing financial statements, how to best display data for maximum impact... more...

  • Lean Six Sigma Using SigmaXL and Minitabby Issa Bass; Barbara Lawton

    McGraw-Hill Education 2009; US$ 29.95

    Effectively Execute Lean Six Sigma Projects using SigmaXL and Minitab Written by a Six Sigma Master Black Belt and a Ph.D., this practical guide to Lean Six Sigma project execution follows the DMAIC (Define, Measure, Analyze, Improve, and Control) roadmap. The many real-world examples used in the book offer in-depth theoretical analyses and are... 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,... 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...