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Handbook of Multilevel Analysis
This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.
Agricultural Resilience
Offers an interdisciplinary exploration of resilience in agriculture, and implications for producers seeking to adapt to change and uncertainty.
Introducing Multilevel Modeling
This is the first accessible and practical guide to using multilevel models in social research. Multilevel approaches are becoming increasingly important in social, behavioural, and educational research and it is clear from recent developments that such models are seen as being more realistic, and potentially more revealing, than ordinary regression models. While other books describe these multilevel models in considerable detail none focuses on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling. The authors' approach is user-oriented and the formal mathematics and statistics are kept to a minimum. Other key features include the use of worked examples using real data sets, analyzed using the leading computer package for multilevel modeling - "MLn." Discussion site at: http: \www.stat.ucla.eduphplibw-agoraw-agora.phtml?bn=Sagebook Data files mentioned in the book are available from: http: \www.stat.ucla.edu deleeuwsagebook
Correspondence Analysis and West Mexico Archaeology
Because the archaeology of West Mexico has received little attention from researchers, large segments of the region’s prehistoric ceramic sequences have long remained incomplete. This book goes far toward filling that gap by analyzing a collection of potsherds excavated in the 1960s and housed since then, though heretofore unanalyzed, at UCLA. The authors employ the rarely used statistical technique known as correspondence analysis to sequence the Long-Glassow collection of artifacts. The book explains how correspondence analysis works and how it can be applied in archaeology. In addition to describing the archaeological sites in north central Jalisco where the collection comes from, the authors provide an ethnohistorical overview including information on the earliest Spanish explorers to reach the sites. They sequence more than seventy ceramic types and derive a master sequence from more than ten thousand potsherds. In addition to Mesoamerican archaeologists, the audience will also include other archaeologists concerned with ceramic analysis or the application of statistics to archaeology.
Peterson's Graduate Programs in the Physical Sciences, Mathematics, Agricultural Sciences, the Environment & Natural Resources 2012
Graduate Programs in the Physical Sciences, Mathematics, Agricultural Sciences, the Environment & Natural Resources 2012 contains more than 2,900 graduate programs in 59 disciplines-including agriculture and food sciences, astronomy and astrophysics, chemistry, physics, mathematics, environmental sciences and management, natural resources, marine sciences, and more. This guide is part of Peterson's six-volume Annual Guides to Graduate Study, the only annually updated reference work of its kind, provides wide-ranging information on the graduate and professional programs offered by U.S.-accredited colleges and universities in the United States and throughout the world. Informative data profile...
Structural Equation Modeling with LISREL
Hayduk is equally at ease explaining the simplest and most advanced applications of the program . . . Hayduk has written more than just a solid text for use in advanced graduate courses on statistical modeling. Those with a firm mathematical background who wish to learn about the approach, or those who know a little about the program and want to know more, will find this an excellent reference.
Publishing Policies and Family Strategies
This study analyses the development of the Dutch publishers and booksellers firm Blussé in connection with the history of the Blussé family between 1745 and 1830. The book offers new insight in the organization of the book trade, the theory and practice of copyright, competition and cooperation among publishers, book prices and print runs, including advertising and marketing. The history of the company is linked with that of the family, using letters and other autobiographical writings. Education, marriage policies, reading practices are among the subjects studied. Within the context of cultural developments, the influence of the Enlightenment, and the political upheavals in the period in the Netherlands, this book is both a detailed book history and a broadly based study of cultural change in the late 18th and early 19th centuries.
Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach
These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems. Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. Volume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications. For all scientists whose work involves statistics.
