ISBN: 978-0-470-69958-4
Hardcover
296 pages
January 2011
In the spatial or space-time context, specifying the correct covariance function is important to obtain efficient predictions and to understand the underlying physical process of interest.
There have been several books in recent years in the general area of spatial statistics. This book focuses on covariance and variogram functions, their role in prediction, and the proper choice of these functions in data applications. Presenting recent methods from 2004-2007 alongside more established methodology of assessing the usual assumptions on such functions such as isotropy, separability and symmetry and demonstrates the effects of incorrect covariance functions on prediction.
ISBN: 978-3-527-41057-6
Paperback
1250 pages
January 2011
This two-volume set can be naturally divided into two semester courses, and contains a full modern graduate course in quantum physics. The idea is to teach graduate students how to practically use quantum physics and theory, presenting the fundamental knowledge, and gradually moving on to applications, including atomic, nuclear and solid state physics, as well as modern subfields, such as quantum chaos and quantum entanglement. The book starts with basic quantum problems, which do not require full quantum formalism but allow the student to gain the necessary experience and elements of quantum thinking. Only then does the fundamental Schrodinger equation appear. The author has included topics that are not usually covered in standard textbooks and has written the book in such a way that every topic contains varying layers of difficulty, so that the instructor can decide where to stop. Although supplementary sources are not required, "Further reading" is given for each chapter, including references to scientific journals and publications, and a glossary is also provided.
Problems and solutions are integrated throughout the text.
1. Origin of main quantum concepts
2. Wave function and the simplest problems
3. Bound states
4. Dynamical variables
5. Uncertainty relations
6. Hilbert space and operators
7. Quantum dynamics
8. Discrete symmetries
9. One-dimensional motion: continuum
10. Variational approach and diagonalization
11. Discrete spectrum
12. Coherent and squeezed states
13. Introducing magnetic field
14. Macroscopic quantum coherence
15. Semiclassical (WKB) approximation
16. Angular momentum and spherical functions
17. Motion in a central field
18. Hydrogen atom
19. Stationary perturbations
20. Spin ?
21. Finite rotations and tensor operators
22. Angular momentum coupling
23. Fine and hyperfine structure
24. Atom in a static field
ISBN: 978-0-470-18314-4
Hardcover
576 pages
November 2010
This book provides a comprehensive account of statistical methods for the design and analysis of diagnostic studies, including sample size calculations, estimation of the accuracy of a diagnostic test, comparison of accuracies of competing diagnostic tests, and regression analysis of diagnostic accuracy data. Discussing recently developed methods for correction of verification bias and imperfect reference bias, methods for analysis of clustered diagnostic accuracy data, and meta-analysis methods, the authors stress common measures of diagnostic accuracy and designs for diagnostic accuracy studies, methods of estimation and hypothesis testing of the accuracy of diagnostic tests, and advanced analytic techniques such as methods for comparing correlated ROC curves in multi-reader studies, correcting verification bias, and correcting imperfect gold standards. The book has rapidly become a valuable addition to the literature of the field, serving as a much-needed guide for both clinicians and advanced students.
ISBN: 978-0-470-74865-7
Hardcover
384 pages
January 2011
This book provides a clear introduction to this important area of statistics. The author provides a wide of coverage of different kinds of multilevel models, and how to interpret different statistical methodologies and algorithms applied to such models. This 4th edition reflects the growth and interest in this area and is updated to include new chapters on multilevel models with mixed response types, smoothing and multilevel data, models with correlated random effects and modeling with variance.
ISBN: 978-0-470-40063-0
Hardcover
7200 pages
January 2011
This multi-volume encyclopedia is organized alphabetically and contains four levels of articles (Introductory, Advanced, Technical, and Case Studies/Historical Interludes) designed to make its content useful and accessible to the widest possible readership.
Introductory articles provide a broad and moderately technical treatment of core topics at a level suitable for advanced undergraduate students as well as scientists without a strong background in the field. Advanced articles, aimed at graduate students and researchers, review key areas of research in a citation-rich format similar to that of leading review journals. Technical articles, written as "breakouts" from the advanced articles, provide more detailed discussions of key concepts addressed in the reviews.
Case studies/biographical sketches/historical interludes provide an opportunity to present successful and/or interesting examples of operations research/management science methodology in practice or in historical contexts. These articles are less technical in nature and aimed primarily at graduate students and practicing researchers. EORMS has also been developed as a dynamic online resource, combining the most useful features of traditional reference works and review journals in a compelling format designed to exploit the full potential of the online medium. Extensive linking to the primary literature and to other online resources such as the Wiley Encyclopedia of Statistical Sciences, Second Edition further enhances the value of EORMS as a gateway to broader scientific literature. The editorial approach and structure of EORMS ensures the longevity of its content.
ISBN13: 9780195377033
Paperback, 144 pages
Apr 2010,
This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences. Each volume in the series demonstrates how the relevant topic should be reported -- including detail surrounding what can be said, and how it should be said, as well as drawing boundaries around what cannot appropriately be claimed or inferred.
This volume addresses an important issue for the design of survey instruments, which is rarely taught in graduate programs beyond those specifically for statisticians. Item Response Theory is used to describe the application of mathematical models to data from questionnaires and tests as a basis for measuring abilities, attitudes, or other variables. It is used for statistical analysis and development of assessments, often for high stakes tests such as the Graduate Record Examination. The author is known for her clear, accessible writing; like all books in this series, this volume includes examples of both good and bad write-ups for methods sections of journal articles.
clear description of how to write about this subject in the methods sections of professional articles
examples of good and bad write-ups
brief and clear introduction to the topic
Associate Professor of Graduate Psychology, Center for Assessment and Research Studies, James Madison University