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Mathematical statistics; Data processing

  • Computational Statisticsby

    Springer New York 2009; US$ 99.00

    Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide... more...

  • Understanding Educational Statistics Using Microsoft Excel and SPSSby Martin Lee Abbott

    Wiley 2014; US$ 128.00

    Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable... more...

  • Data Manipulation with Rby Jaynal Abedin

    Packt Publishing 2014; US$ 17.99

    This book is a step-by step, example-oriented tutorial that will show both intermediate and advanced users how data manipulation is facilitated smoothly using R.This book is aimed at intermediate to advanced level users of R who want to perform data manipulation with R, and those who want to clean and aggregate data effectively. Readers are expected... more...

  • Data Manipulation with Rby Jaynal Abedin; Kishor Kumar Das

    Packt Publishing 2015; US$ 23.99

    This book is for all those who wish to learn about data manipulation from scratch and excel at aggregating data effectively. It is expected that you have basic knowledge of R and have previously done some basic administration work with R. more...

  • R Graphs Cookbookby Jaynal Abedin; Hrishi V. Mittal

    Packt Publishing 2014; US$ 32.99

    Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries. more...

  • R by Exampleby Jim Albert; Maria Rizzo

    Springer New York 2012; US$ 79.99

    This example-based general introduction to the statistical computing environment does not assume any previous familiarity with R or other software packages. R functions are compellingly presented in the context of interesting applications with real data. more...

  • A Tiny Handbook of Rby Mike Allerhand

    Springer Berlin Heidelberg 2011; US$ 39.95

    A handbook of the R statistical programming language, this volume provides a roadmap for the R language and programming environment, pointing readers to further resources and documentation. more...

  • Numerical Issues in Statistical Computing for the Social Scientistby Micah Altman; Jeff Gill; Michael P. McDonald

    Wiley 2004; US$ 168.00

    At last—a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook... more...

  • Datenqualität erfolgreich steuernby Detlef Apel; Wolfgang Behme; Rüdiger Eberlein; Christian Merighi

    dpunkt.verlag 2015; US$ 52.48

    Immer mehr Unternehmen begreifen ein gutes Datenqualitätsmanagement als einen entscheidenden Wettbewerbsvorteil: Die IT-Kosten sinken, Projekte werden beschleunigt, auf Änderungen am Markt oder von gesetzlichen Auflagen kann schneller und flexibler reagiert werden. Datenintegrationen über System-, Abteilungs- und Unternehmensgrenzen hinweg werden erleichtert... more...

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

    McGraw-Hill Education 2009; US$ 32.00

    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...