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Statistics; Graphic methods

  • Applied Statistical Inference with MINITAB®by Sally Lesik

    Taylor and Francis 2009; US$ 98.95

    Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis. ... more...

  • Fundamentals of Algebraic Graph Transformationby Hartmut Ehrig

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 149.00

    Graphs are widely used to represent structural information in the form of objects and connections between them. Graph transformation is the rule-based manipulation of graphs, an increasingly important concept in computer science and related fields. This is the first textbook treatment of the algebraic approach to graph transformation, based on algebraic... more...

  • The Grammar of Graphicsby Leland Wilkinson

    Springer-Verlag New York Inc 2006; US$ 149.00

    Written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. This book presents a foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. more...

  • Graphic Discoveryby Howard Wainer

    Princeton University Press 2013; US$ 31.95

    Good graphs make complex problems clear. From the weather forecast to the Dow Jones average, graphs are so ubiquitous today that it is hard to imagine a world without them. Yet they are a modern invention. This book is the first to comprehensively plot humankind's fascinating efforts to visualize data, from a key seventeenth-century precursor--England's... more...

  • Graphics of Large Datasetsby Antony Unwin; Martin Theus; Heike Hofmann

    Springer 2007; US$ 169.00

    This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the... more...

  • Metagraphs and Their Applicationsby Amit Basu; Robert W. Blanning

    Springer 2007; US$ 119.00

    Metagraphs are more complex than a simple graph structure, but they allow for representation and analysis of more complex systems. Divided into two parts, this book is a presentation of metagraph theory and its applications. The first part develops the theoretical results and the second part examines four applications of metagraphs. more...

  • On Probabilistic Conditional Independence Structuresby Milan Studeny

    Springer 2006; US$ 169.00

    Conditional independence is a topic that lies between statistics and artificial intelligence. This book provides the mathematical description of probabilistic conditional independence structures. It presents the methods of structural imsets and supermodular functions, and deals with independence implication and equivalence of structural imsets. more...

  • Visualizing Statistical Models And Conceptsby R.W. Farebrother; Michael Schyns

    Taylor and Francis 2002; US$ 115.95

    Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming. more...

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