Multidimensional Data Visualization

This is a book for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Its goal is to extend the toolkit beyond the basic triad provided

Offering a multidimensional approach to one of the most important episodes of the twentieth century, "The Columbia Guide to the Holocaust" offers readers and researchers a general history of the Holoc

Easy to read and comprehensive, this book presents descriptive multivariate (DMV) statistical methods using real-world problems and data sets. It offers a unique approach to integrating statistical m

Fundamentals of OOP and Data Structures in Java is a text for an introductory course on classical data structures. Part One of the book presents the basic principles of Object-Oriented Programming (OOP) and Graphical User Interface (GUI) programming with Java as the example language. Part Two introduces each of the major data structures with supporting, GUI-based laboratory programs designed to reinforce the basic concepts and principles of the text. These laboratories allow the reader to explore and experiment with the properties of each data structure. All source code for the laboratories is available on the web. By integrating the principles of OOP and GUI programming, this book takes the unique path of presenting the fundamental issues of data structures within the context of paradigms that are essential to today's professional software developer. The authors assume the reader has only an elementary understanding of Java and no experience with OOP.

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all a

A nighttime anthology of meditations, prayers, and visualization exercises draws on traditional Jewish prayer, Kabbalistic teachings, the Bible, and midrash to provide spiritual insight as one prepare

In this multidimensional analysis, Benjamin A. Elman uses over a thousand newly available examination records from the Yuan, Ming, and Ch'ing dynasties, 1315-1904, to explore the social, political, an

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-log

The authors (professors of computer science and technology at the U. of Bologna, Italy) describe design techniques for data warehousing for database designers, companies, and institutions interested i

Here is a multidimensional playland of ideas from the world's most eccentric Nobel-Prize winning scientist. Kary Mullis is legendary for his invention of PCR, which redefined the world of DNA, genetic

Presents an introduction to the concept of data analysis through the use of statistics.

Extensively revised and updated, with the addition of new chapters and authors, this long-awaited second edition covers all aspects of clinical data management. Giving details of the efficient clinica

PData Structures and Problem Solving Using C++ provides a practical introduction to data structures and algorithms from the viewpoint of abstract thinking and problem solving, as well as the use of C+

Introducing the concepts and methods of modern statistics with an emphasis on computer assisted data analysis, the book focuses on interpretation of results rather than their computation. Review of

Otherland. In many ways it is humankind's most stunning achievement: a private, multidimensional universe built over two generations by the greatest minds of the twenty-first century. But this most ex

If you need hints on how to collect, describe, compare and analyze data, you will find them in this handy guide. The author addresses specification elaboration, and sampling of the "domain&am

The Remote Sensing Data Book provides a unique resource of all aspects of remote sensing for the expert and non-expert alike. Organised as a dictionary, it contains over 700 alphabetically-arranged and cross-referenced entries on how remote sensing works, what kinds of data are available, and the large number of satellites and instruments from which the information is obtained. As well as short technical definitions, it also includes longer essays and reviews to give an overview of the subject. Although not a textbook in itself, the data book will serve as a valuable addition to existing textbooks for undergraduates and graduate students on geography, environmental and earth science courses that include an element of remote sensing. It will also be an essential reference for researchers and research managers at all levels using spaceborne remote sensing methods to obtain information about the earth's land, sea, ice and atmosphere.

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

Tango. A multidimensional expression of Argentine identity, one that speaks to that nation’s sense of disorientation, loss, and terror. Yet the tango mesmerizes dancers and audiences alike throughout

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