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A Companion to Alfred the Great
Eleven major scholars of the Anglo-Saxon period consider Alfred the Great, his cultural milieu, and his achievements. With revised or revived views of the Alfredian revival, the contributors help set the agenda for future work on a most challenging period. The collection features the methods of history, art history, and literature in a newer key and with an interdisciplinary view on a period that offers less evidence than inference. Major themes linking the essays include authorship, translation practice and theory, patristic influence, Continental connections, and advances in textual criticism. The Alfredian moment has always surprised scholars because of its intellectual reach and its ambition. The contributors to this collection describe how we must now understand that ambition.
The Politics of Language
Comparing works by the two most prolific authors of the era, Byrhtferth of Ramsey and AElfric of Eynsham, Rebecca Stephenson explains the politics that encouraged the simultaneous development of a simple English style and an esoteric Latin style.
Handbook of Statistical Methods and Analyses in Sports
This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.
A History of Old English Literature
A HISTORY OF OLD ENGLISH LITERATURE A History of Old English Literature has been significantly revised to provide an unequivocal response to the renewed historicism in medieval studies. Focusing on the production and reception of Old English texts and on their relation to Anglo-Saxon history and culture, this new edition covers an exceptionally broad array of genres. These range from riddles and cryptograms to allegory, liturgical texts, and romance, as well as lyric poetry and heroic legend. The authors also integrate discussions of Anglo-Latin texts, crucial to understanding the development of Old English literature. This second edition incorporates extensive reference to scholarship that has evolved over the past decade, with new chapters on both Anglo-Saxon manuscripts and on incidental and marginal texts. There is expanded treatment throughout, including increased coverage of legal texts and scientific and scholastic texts. The book concludes with a retrospective outline of the reception of Anglo-Saxon literature and culture in subsequent periods.
The Oxford Handbook of the History of English
This ambitious Handbook takes advantage of recent advances in the study of the history of English to rethink the understanding of the field.
Handbook of Generalized Pairwise Comparisons
In today's healthcare landscape, there is a pressing need for quantitative methodologies that include the patients' perspective in any treatment decision. Handbook of Generalized Pairwise Comparisons: Methods for Patient-Centric Analysis provides a comprehensive overview of an innovative and powerful statistical methodology that generalizes the traditional Wilcoxon-Mann-Whitney test by extending it to any number of outcomes of any type and including thresholds of clinical relevance into a single, multidimensional evaluation. The book covers the statistical foundations of generalized pairwise comparisons (GPC), applications in various disease areas, implications for regulatory approvals and benefit-risk analyses, and considerations for patient-centricity in clinical research. With contributions from leading experts in the field, this book stands as an essential resource for a more holistic and patient-centric assessment of treatment effects.
Wealth and the Material World in the Old English Alfredian Corpus
A new, materialistic reading of the Alfredian corpus, drawing on diverse approaches from thing theory to Augustinian principles of use and enjoyment to uncover how these works explore the material world. The Old English prose translations traditionally attributed to Alfred the Great (versions of Gregory's Regula pastoralis, Boethius' De consolatione philosophiae, Augustine's Soliloquia and the first fifty Psalms) urge detachment from the material world; but despite this, its flotsam and jetsam, from costly treasures to everyday objects, abound within them. This book reads these original and inventive translations from a materialist perspective, drawing on approaches as diverse as thing theor...
Handbook of Bayesian Variable Selection
Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed. The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics cov...
Statistical Thinking in Sports
Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and bes
Microprediction
How a web-scale network of autonomous micromanagers can challenge the AI revolution and combat the high cost of quantitative business optimization. The artificial intelligence (AI) revolution is leaving behind small businesses and organizations that cannot afford in-house teams of data scientists. In Microprediction, Peter Cotton examines the repeated quantitative tasks that drive business optimization from the perspectives of economics, statistics, decision making under uncertainty, and privacy concerns. He asks what things currently described as AI are not “microprediction,” whether microprediction is an individual or collective activity, and how we can produce and distribute high-qual...
