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Praise for George Francis's A Topological Picturebook: Bravo to Springer for reissuing this unique and beautiful book! It not only reminds the older generation of the pleasures of doing mathematics by hand, but also shows the new generation what ``hands on'' really means. - John Stillwell, University of San Francisco The Topological Picturebook has taught a whole generation of mathematicians to draw, to see, and to think. - Tony Robbin, artist and author of Shadows of Reality: The Fourth Dimension in Relativity, Cubism, and Modern Thought The classic reference for how to present topological information visually, full of amazing hand-drawn pictures of complicated surfaces. - John Sullivan, Technische Universitat Berlin A Topological Picturebook lets students see topology as the original discoverers conceived it: concrete and visual, free of the formalism that burdens conventional textbooks. - Jeffrey Weeks, author of The Shape of Space A Topological Picturebook is a visual feast for anyone concerned with mathematical images. Francis provides exquisite examples to build one's "visualization muscles". At the same time, he explains the underlying principles and design techniques for readers to create their own lucid drawings. - George W. Hart, Stony Brook University In this collection of narrative gems and intriguing hand-drawn pictures, George Francis demonstrates the chicken-and-egg relationship, in mathematics, of image and text. Since the book was first published, the case for pictures in mathematics has been won, and now it is time to reflect on their meaning. A Topological Picturebook remains indispensable. - Marjorie Senechal, Smith College and co-editor of the Mathematical Intelligencer.

Mathematics. --- Topology. --- Geometry. --- Mathématiques --- Géométrie --- Topologie --- Topology --- Mathematics --- Physical Sciences & Mathematics --- Geometry --- Graphic methods --- Analysis situs --- Position analysis --- Rubber-sheet geometry --- Graphic methods. --- Topologie. Méthodes graphiques. --- Topologie. Grafische methoden. --- Polyhedra --- Set theory --- Algebras, Linear --- Euclid's Elements --- Géometrie --- Infographie --- Topology - Graphic methods.

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Provides lessons to help users design and deliver creative presentations using Microsoft PowerPoint.

Advertising. Public relations --- Computer architecture. Operating systems --- digitale ontwerptechnieken --- presentatietechnieken --- reclame --- reclamevormgeving --- presenteren --- Industrial psychology --- Business presentations. --- Multimedia systems in business presentations. --- Business presentations --- Graphic methods --- Computer programs. --- Microsoft PowerPoint (Computer file) --- Presentaties --- Communicatie --- Presentatietechnieken --- Spreekkunst --- Presentations, Business --- Business communication --- PowerPoint --- Microsoft Power point --- Microsoft PowerPoint for Windows --- PowerPoint for Windows --- Microsoft PowerPoint for Windows 95 --- PowerPoint for Windows 95 --- Microsoft PowerPoint 97 --- Microsoft PowerPoint version 2002 --- PowerPoint XP --- Microsoft Office PowerPoint 2007 --- Presentatietechnieken. --- storytelling --- Multimedia systems in business presentations --- Graphic methods&delete& --- Computer programs

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This book presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to handle a broader range of data types than those analyzed by traditional generalized linear models. One example is correlated angular data. This book provides a systematic treatment for the topic of estimating functions. Under this framework, both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to marginal models and mixed-effects models, this book covers topics on joint regression analysis based on Gaussian copulas and generalized state space models for longitudinal data from long time series. Various real-world data examples, numerical illustrations and software usage tips are presented throughout the book. This book has evolved from lecture notes on longitudinal data analysis, and may be considered suitable as a textbook for a graduate course on correlated data analysis. This book is inclined more towards technical details regarding the underlying theory and methodology used in software-based applications. Therefore, the book will serve as a useful reference for those who want theoretical explanations to puzzles arising from data analyses or deeper understanding of underlying theory related to analyses. Peter Song is Professor of Statistics in the Department of Statistics and Actuarial Science at the University of Waterloo. Professor Song has published various papers on the theory and modeling of correlated data analysis. He has held a visiting position at the University of Michigan School of Public Health (Ann Arbor, Michigan).

Correlation (Statistics) --- Generalized estimating equations. --- Longitudinal method. --- Corrélation (Statistique) --- Méthode longitudinale --- Correlation (Statistics). --- Generalized estimating equations --- Longitudinal method --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- 519.535 --- Longitudinal research --- Longitudinal studies --- Methodology --- Research --- Social sciences --- Estimating equations, Generalized --- Equations, Generalized estimating --- GEE (Statistics) --- Linear models (Statistics) --- Least squares --- Mathematical statistics --- Probabilities --- Regression analysis --- Statistics --- Instrumental variables (Statistics) --- Graphic methods --- Mathematics. --- Probabilities. --- Statistics. --- Probability Theory and Stochastic Processes. --- Statistical Theory and Methods. --- Distribution (Probability theory. --- Mathematical statistics. --- Statistical inference --- Statistics, Mathematical --- Sampling (Statistics) --- Distribution functions --- Frequency distribution --- Characteristic functions --- Statistical methods --- Statistics . --- Probability --- Combinations --- Chance --- Risk --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics

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The 15th International Conference on Conceptual Structures (ICCS 2007) is the latest in a series of annual conferences that have been held in Europe, Australia, and North America since 1993. Some of the world's best minds in information technology, arts, humanities and social science converged to explore novel ways that information and communications technology (ICT) can augment human intelligence, the longstanding objective of research and development efforts dating back to the pioneers Vannevar Bush and Douglas Engelbart. Topics covered include Formal Concept Analysis, Description Logics, the Semantic Web, the Pragmatic Web, Ontologies, Multi-agent Systems, Concept Mapping, and more. The conceptual structures represent a family of approaches that build on the successes of artificial intelligence, business intelligence, computational linguistics, conceptual modelling, information and web technologies, user modelling, and knowledge management. The workshop proceedings from ICCS 2007 provided a holistic forum for the dissemination of research results within the context of conceptual structures, including key research findings in Ontology Engineering, Grid Services, Knowledge Management, and Knowledge driven Bio-Informatics.

Computer Science. --- User Interfaces and Human Computer Interaction. --- Computational Biology/Bioinformatics. --- Artificial Intelligence (incl. Robotics). --- Data Mining and Knowledge Discovery. --- Computer science. --- Data mining. --- Artificial intelligence. --- Bioinformatics. --- Informatique --- Exploration de données (Informatique) --- Intelligence artificielle --- Bio-informatique --- Computational complexity -- Congresses. --- Computational complexity. --- Computer science -- Congresses. --- Conceptual structures (Information theory) --- Graph theory --- Logic diagrams --- Knowledge representation (Information theory) --- Natural language processing (Computer science) --- Computer Science --- Engineering & Applied Sciences --- Diagrams, Logic --- Logic --- Diagrams --- Graphic methods --- Coding theory. --- User interfaces (Computer systems). --- Coding and Information Theory. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Informatics --- Science --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Signal theory (Telecommunication) --- Computer programming --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data processing --- Information theory. --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Communication theory --- Communication --- Cybernetics