Multidimensional Data Visualization

Accessible, up-to-date coverage of a broad range of modern and traditional methods. The ability to understand and analyze categorical, or count, data is crucial to the success of statisticians in a wi

A comprehensive guide to quality improvement from the leading expert in information and data warehouse quality.Each year, companies lose millions as a result of inaccurate and missing data in their op

A guide to how meditations and principles from the Kabbalah can be used to profoundly renew spiritual practice. - Reveals transformational meditations and visualization exercises based on th

Considers knowledge discovery, which has been defined as the extraction of implicit, previously unknown and potentially useful information from data. Early chapters examine technical issues of importa

In recent years, computer graphics has evolved into four major disciplines: computer animation, image processing, visualization, and virtual reality. Now these technologies are converging into one sea

The use of images as evidence in historical writing has been largely neglected by historians, though recent interest in the importance of visualization in scientific literature has led to a reapprais

The goal of this book is to provide a comprehensive and systematic introduction to the important and highly applicable method of data refinement and the simulation methods used for proving its correctness. The authors concentrate in the first part on the general principles needed to prove data refinement correct. They begin with an explanation of the fundamental notions, showing that data refinement proofs reduce to proving simulation. The book's second part contains a detailed survey of important methods in this field, which are carefully analysed, and shown to be either incomplete, with counterexamples to their application, or to be always applicable whenever data refinement holds. This is shown by proving, for the first time, that all these methods can be described and analysed in terms of two simple notions: forward and backward simulation. The book is self-contained, going from advanced undergraduate level and taking the reader to the state of the art in methods for proving simula

Explores some of the more advanced tools in computer programming such as structured problem solving, object- oriented programming, data abstraction, and the comparative analysis of algorithms. The aut

Spalter (artist in residence, Brown U. and outreach director at the NSF Science and Technology Center for Computer Graphics and Scientific Visualization) provides a technical and theoretical introduct

Data Communications Networking Devices Operation, Utilization and LAN and VAN Internetworking Fourth Edition Gilbert Held 4-Degree Consulting, Macon, Georgia, USA Data communications continue to grow

The Pleiadians are back from the future to give us a broader perspective on "the absurd times" we live in. The crucial test for us will be to shift from linear thinking to a multidimensional perspect

The frequent use of weIl known critical data handbooks like Beilstein, Gmelin and Landolt-Bomstein is impeded by the fact that only larger libraries - often far away from scientist's working places -

Harvey Brightman's accessible, easy-to-understand new book focuses on helping readers learn essential statistical concepts and data analysis. In an intuitive and non-mathematical writing style, Bright

Students will learn data structures and algorithms from a modern, object-oriented perspective with this new text. It uses a single class hierarchy as a framework to present all of the data structures.

Fundamentals of Engineering Programming with C and Fortran, first published in 1998, is a beginner's guide to problem solving with computers which shows how to quickly prototype a program for a particular engineering application. The book's side by side coverage of C and Fortran, the predominant computer languages in engineering, is unique. It emphasizes the importance of developing programming skills in C while carefully presenting the importance of maintaining a good reading knowledge of Fortran. Beginning with a brief description of computer architecture, the book then covers the fundamentals of computer programming for problem solving. It devotes separate chapters to data types and operators, control flow, type conversion, arrays, and file operations. The final chapter contains case studies that illustrate particular elements of modeling and visualization. Also included are a number of appendices covering C and Fortran language summaries and other useful topics. This concise and ac

This volume presents a comprehensive statement of cognitive theory and maps the dynamic evolution of cognitive therapy into a multidimensional approach applicable to an impressive range of problems. T

Fundamentals of Engineering Programming with C and Fortran, first published in 1998, is a beginner's guide to problem solving with computers which shows how to quickly prototype a program for a particular engineering application. The book's side by side coverage of C and Fortran, the predominant computer languages in engineering, is unique. It emphasizes the importance of developing programming skills in C while carefully presenting the importance of maintaining a good reading knowledge of Fortran. Beginning with a brief description of computer architecture, the book then covers the fundamentals of computer programming for problem solving. It devotes separate chapters to data types and operators, control flow, type conversion, arrays, and file operations. The final chapter contains case studies that illustrate particular elements of modeling and visualization. Also included are a number of appendices covering C and Fortran language summaries and other useful topics. This concise and ac

This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclu

This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclu

Having given away the answer in the subtitle, Langdon (U. of Birmingham, England) explains the nuts and bolts of the automatic creation of program code that actually includes stored data, which previo

Written by reliability data experts, the book gives plant managers and supervisors the guidance they need to collect, and use with confidence, process equipment reliability data for risk-based decisio

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avante-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this

Professor Richard Hanley faced the dilemma plaguing so many philosophy professors today?how to entice students into the classroom. Based upon his own successful course, Is Data Human presents a thorou

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into thr

This book studies Nahuas and Spaniards in the central Mexican jurisdiction of Coyoacan from the Spanish conquest until 1650, crafting a multidimensional portrait of their relations in both institution

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of

Drawing on interviews with over 70 specialists in Europe, the US, and Canada, Harris (geography, U. College, London) examines policies regarding access to satellite data about the earth, its distribut

Based on actual studies, offers high-level managers and systems architects in the telecommunications industry step-by-step instruction on designing and developing cost-efficient data warehouses. Also

Argues that ADD, attention deficit disorder, often persists into adulthood, describes its symptoms, and offers advice on treatment, visualization techniques, and day-to-day coping

An excellent resource on the changing population distribution of antebellum Black Americans, this book covers census data by region and state. Two-thirds of the book consists of tables and graphs prov

Discusses the opportunities and risks for the U.S. in using intelligence data for environmental purposes.

This comprehensive guide offers a detailed treatment of the analysis, design, simulation and testing of the full range of today's leading delta-sigma data converters. Written by professionals experien

NMR DATA PROCESSINGJeffrey C. Hoch and Alan S. SternNuclear Magnetic Resonance (NMR) spectroscopy is a powerful nondestructive technique for exploring the structure of matter. In recent years, NMR ins

All young computer scientists who aspire to write programs must learn something about algorithms and data structures. This book does exactly that. Based on lecture courses developed by the author over

In this second edition of his best-selling book, Data Structures and Algorithm Analysis in C, Mark Allen Weiss, continues to refine and enhance his innovative approach to algorithms and data structure

How can you present or organize your statistical or numerical data so that it is accessible and meaningful for your readers or audience? Graphing Statistics & Data introduces the technique and

A clear and systematic treatment of time series of data, regular and chaotic, found in nonlinear systems. The text leads readers from measurements of one or more variables through the steps of buildin

Not another O.J. Simpson trial exposT, but a new edition of the standard reference interpreting discrete population genetic data (for example, DNA profiles). Weir illustrates concepts in estimating f

algorithms and data structures in C++ Leendert Ammeraal Hogeschool van Utrecht, The Netherlands C++ is capable of tackling a whole range of programming tasks. The purpose of this book is to give bread

In the theory and practice of econometrics the model, the method and the data are all interdependent links in information recovery-estimation and inference. Seldom, however, are the economic and stati