In the last few years modified gravity theories have been proposed as extensions of Einstein's theory of gravity. Their main motivation is to explain the latest cosmological and astrophysical data on dark energy and dark matter. The study of general relativity at small scales has already produced important results (cf e.g. LNP 863 Quantum Gravity and Quantum Cosmology) while its study at large …
This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter deals with non-parametric Bayesian inference via a recently developed framework known a…
Questo libro trae la sua origine dagli appunti preparati per le lezioni di Metodi Matematici della Fisica tenute al Dipartimento di Fisica dell'Università di Pisa, e via via sistemati, raffinati e aggiornati nel corso di molti anni di insegnamento. L'intento generale è di fornire una presentazione per quanto possibile semplice e diretta dei metodi matematici basilari e rilevanti per la Fisica…
The Model-Free Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier to work with, e.g., i.i.d. or Gaussian. As such, it restores the emphasis on observable quantities, i.e., current and future data, as opposed to unobservable model parameters and estimates thereof, and yields optimal predictors in diverse set…
Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related resear…
This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techn…
Praise for the Prison Creative Arts Project:"I cannot overstate how profoundly my experience with the Prison Creative Arts Project has shaped my life. It began my engagement with prison issues, developed both my passion and my understanding of them, and I continue to draw on both as I seek to contribute to a more rational, humane and just criminal justice system. PCAP prepared me to adapt to an…
Scott McLean’s Writing for Success is a text that provides instruction in steps, builds writing, reading and critical thinking and combines comprehensive grammar review with an introduction to paragraph writing and composition. Beginning with the sentence and its essential elements, this book addresses each concept with clear, concise and effective examples that are immediately reinforced wit…
The editors and contributors to this collection explore what it means to adopt an "academic literacies" approach in policy and pedagogy. Transformative practice is illustrated through case studies and critical commentaries from teacher-researchers working in a range of higher education contexts—from undergraduate to postgraduate levels, across disciplines and spanning geopolitical regions inc…
Working with educators at all academic levels involved in W.A.C. partnerships, the authors and editors of this collection demonstrate successful models of collaboration between schools and institutions so others can emulate and promote this type of collaboration. The chapters in this collection describe and reflect on collaborative partnerships among middle schools, high schools, colleges and u…