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<b>A complete, hands-on guide to the use of statistical methods for obtaining reliable and practical survey research</b> <p> <p> <i>Applied Survey Methods</i> provides a comprehensive outline of the complete survey process, from design to publication. Filling a gap in the current literature, this one-of-a-kind book describes both the theory and practical applications of survey research with an emphasis on the statistical aspects of survey methods. <p> The book begins with a brief historic overview of survey research methods followed by a discussion that details the needed first steps for carrying out a survey, including the definition of a target population, the selection of a sampling frame, and the outline of a questionnaire with several examples that include common errors to avoid in the wording of questions. Throughout the book, the author provides an accessible discussion on the methodological problems that are associated with the survey process, outlining real data and examples while also providing insight on the future of survey research. Chapter coverage explores the various aspects of the survey process and the accompanying numerical techniques, including: <ul> <li> <div>Simple and composite sampling designs</div> <li> <div>Estimators</div> <li> <div>Data collection and editing</div> <li> <div>The quality of results</div> <li> <div>The non-response problem</div> <li> <div>Weighting adjustments and methods</div> <li> <div>Disclosure control</div> </ul> <p> The final chapter addresses the growing popularity of Web surveys, and the associated methodological problems are discussed, including solutions to common pitfalls. Exercises are provided throughout with selected answers included at the end of the book, while a related Web site features additional solutions to exercises and a downloadable demo version of the Blaise system of computer-assisted interviewing. Access to the freely available SimSam software is also available on the related Web site and provides readers with the tools needed to simulate samples from finite populations as well as visualize the effects of sample size, non-response, and the use of different estimation procedures. <p> <i>Applied Survey Methods</i> is an excellent book for courses on survey research and non-response in surveys at the upper-undergraduate and graduate levels. It is also a useful reference for practicing statisticians and survey methodologists who work in both government and private research sectors.
Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions. The next step beyond Landau's "First Course in Scientific Computing" and a follow-up to Landau and Paez's "Computational Physics," this text presents a broad survey of key topics in computational physics for advanced undergraduates and beginning graduate students, including new discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics. By treating science, applied mathematics, and computer science together, the book reveals how this knowledge base can be applied to a wider range of real-world problems than computational physics texts normally address.
Designed for a one- or two-semester course, "A Survey of Computational Physics" will also interest anyone who wants a reference on or practical experience in the basics of computational physics. The text includes a CD-ROM with supplementary materials, including Java, Fortran, and C programs; animations; visualizations; color figures; interactive Java applets; codes for MPI, PVM, and OpenDX; and a PVM tutorial.Accessible to advanced undergraduates Real-world problem-solving approach Java codes and applets integrated with text Accompanying CD-ROM contains codes, applets, animations, and visualization files Companion Web site includes videos of lectures
Databases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of such useful information makes efficient management of it increasingly difficult, undermining the possibility of transforming it into useful knowledge.
The research presented by De Virgilio, Giunchiglia and Tanca tries to bridge the two worlds in order to leverage the efficiency and scalability of database-oriented technologies to support an ontological high-level view of data and metadata. The contributions present and analyze techniques for semantic information management, by taking advantage of the synergies between the logical basis of the Semantic Web and the logical foundations of data management. The book's leitmotif is to propose models and methods especially tailored to represent and manage data that is appropriately structured for easier machine processing on the Web.
After two introductory chapters on data management and the Semantic Web in general, the remaining contributions are grouped into five parts on Semantic Web Data Storage, Reasoning in the Semantic Web, Semantic Web Data Querying, Semantic Web Applications, and Engineering Semantic Web Systems. The handbook-like presentation makes this volume an important reference on current work and a source of inspiration for future development, targeting academic and industrial researchers as well as graduate students in Semantic Web technologies or database design.
This work argues against the widespread opinion that very few syntactic studies were carried out before the 1950s. Relying on the detailed analysis of a large amount of original sources, it shows that syntactic matters were in fact carefully investigated throughout both the 19th century and during the first half of the 20th century. Moreover, it illustrates how the enormous development of syntactic research since 1950 has already condemned even several recent ideas and analyses to oblivion, and deeply influenced current research programmes. The wealth of research undertaken since the early 19th century is presented here in a systematic way, taking as its starting point the relationship of syntax with psychology throughout this period. The critical ideas expressed in the text are based on a detailed illustration of the different syntactic models and analyses rather than on the polemics between the different schools.
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