<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
Your Webinar Notebook! Vol. 6 offers wonderful guiding prompts and insights for you as you attend your next webinar or lecture, in a compact guide. Use as a notebook, journal, planner, take notes, brainstorm, collect ideas and be inspired to take action. 28 pages 7 x9" with a soft beautiful original artwork cover. Enjoy!
For more than a decade, "Surveying Natural Populations" has proven itself as a user-friendly primer to the essential survey methodologies of quantitative field ecology or paleoecology. Combining the intuitive methods of the field researcher with the mathematical precision of the statistician, this second edition now examines, through real world examples, the measures necessary for a complete community assessment and clarifies the confusions between biological and statistical terminology. It emphasizes an understanding of underlying mathematical concepts rather than providing a cookbook of recipes, and in doing so, the authors teach the reader how to incrementally complete a quantitative sampling of any recent or fossil population.
The first half of "Surveying Natural Populations" teaches the fundamentals of ecological assessment. Employing a single data set throughout, initial chapters guide the uninitiated through such topics as estimating densities, relative abundance, occurrences, and determining adequate sample sizes. The second half is extensively revised and includes four new chapters on the newest advances in biodiversity measurement. Through the use of information mathematics and decomposition, the relationship of myriad proposed diversity indices is examined mathematically and inappropriate measures are discarded. What remains is a simple, all-encompassing system called SHE analysis, in which species density, richness, information, and evenness are all explicitly related. This information is then integrated into a simple graphic. The plot, called a biodiversitygram, provides the researcher with a descriptive and inferential tool to assess the biodiversity of any community.
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