This study sheds light on the work of the evangelical scientists who sought to bridge the cultural divide Christianity and evolutionary theory. In the well-known Scopes “Monkey Trial” of 1925, famously portrayed in the film and play Inherit the Wind, William Jennings Bryan’s clashed with defense attorney Clarence Darrow. The drama, pitting fundamentalist fervor against aggressive agnosticism, illustrated what current scholars call the conflict thesis. Regardless of the actual legal question of the trial, it appeared as though Christianity and science were at war with each other. Decades later, a new generation of evangelical scientists struggled to restore peace. After the Monkey Trial is the compelling history of those evangelical scientists in Britain and America who, unlike their fundamentalist cousins, supported mainstream scientific conclusions of the world and resisted the anti-science impulses of the era. Christopher M. Rios focuses on two organizations, the American Scientific Affiliation and the Research Scientists’ Christian Fellowship (today Christians in Science), who for more than six decades have worked to reshape evangelical engagement with science and redefine what it means to be a creationist.
In the last volume of The Speedicut Memoirs, Charles Speedicut relates his involvement, as a member of the Special Operations Executive, in many of the highly successful deception strategies masterminded by the cross-dressing Colonel Dudley Clarke, including Operation MINCEMEAT. He also discloses his role in the high-profile assassinations of the Protector of Moravia & Bohemia, Reinhard Heydrich, the Vichy French Admiral, François Darlan, and the abduction of General Heinrich Kreipe. In the post-war period, Speedicut is principally concerned with uncovering Soviet spies in the British Establishment although, along the way, he recounts the true story on which The Third Man was based. He also reveals that he was responsible for stealing the Duchess of Windsor’s jewels, his pivotal role in the Vassall and Profumo scandals, the true identity of the ‘headless man’ in the notorious Argyll divorce case and the reason why his memoirs were written whilst serving time in HM Prison Ford. “The activities of the Special Operations Executive have been described as ‘ungentlemanly warfare’ entirely because of the exploits of Charles Speedicut.” The Rt Hon Sir Winston Churchill
Long 'on' the Tooth: Dental Evidence of Diet addresses human dental macroscopic and microscopic wear, as well as dental disease, as indicators of diet. The book focuses primarily on 350 pre-contact humans from North America dating from approximately 5,500 to 600 years ago. These populations had subsistence strategies ranging from terrestrial foraging to intensive maize agriculture. The study makes intra- and intergroup comparisons to elucidate dietary nuances that are largely beyond the reach of other means of dietary reconstruction. Finally, the book discusses the importance of using multiple dietary indicators in unison in order to provide paleodietary insights. Includes state-of-the-art dental microwear texture data Focuses on populations largely overlooked in archaeological and dental anthropology volumes Offers the first dental anthropology book to integrate dental pathology and dental microwear texture analysis
Bei der Regressionsanalyse von Datenmaterial erhält man leider selten lineare oder andere einfache Zusammenhänge (parametrische Modelle). Dieses Buch hilft Ihnen, auch komplexere, nichtparametrische Modelle zu verstehen und zu beherrschen. Stärken und Schwächen jedes einzelnen Modells werden durch die Anwendung auf Standarddatensätze demonstriert. Verbreitete nichtparametrische Modelle werden mit Hilfe von Bayes-Verfahren in einen kohärenten wahrscheinlichkeitstheoretischen Zusammenhang gebracht.
Nonlinearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use of root search algorithms, or one-step estimators, is a standard method of solution. This book provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It provides extensive coverage and comparison of hill climbing algorithms, which, when started at points of nonconcavity often have very poor convergence properties, and for additional flexibility proposes a number of modifications to the standard methods for solving these algorithms. The book also extends beyond simple root search algorithms to include a discussion of the testing of roots for consistency, and the modification of available estimating functions to provide greater stability in inference. A variety of examples from practical applications are included to illustrate the problems and possibilities thus making this text ideal for the research statistician and graduate student. This is the latest in the well-established and authoritative Oxford Statistical Science Series, which includes texts and monographs covering many topics of current research interest in pure and applied statistics. Each title has an original slant even if the material included is not specifically original. The authors are leading researchers and the topics covered will be of interest to all professional statisticians, whether they be in industry, government department or research institute. Other books in the series include 23. W.J.Krzanowski: Principles of multivariate analysis: a user's perspective updated edition 24. J.Durbin and S.J.Koopman: Time series analysis by State Space Models 25. Peter J. Diggle, Patrick Heagerty, Kung-Yee Liang, Scott L. Zeger: Analysis of Longitudinal Data 2/e 26. J.K. Lindsey: Nonlinear Models in Medical Statistics 27. Peter J. Green, Nils L. Hjort & Sylvia Richardson: Highly Structured Stochastic Systems 28. Margaret S. Pepe: The Statistical Evaluation of Medical Tests for Classification and Prediction
The first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool. The treatment is rather informal, emphasizing essential principles rather than detailed proofs, and readers are assumed to have a firm grounding in probability and statistics at the graduate level. Many examples of the use of the methods in both classical statistical and stochastic process contexts are provided.
Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods Noel Cressie and Christopher K. Wikle, are also winners of the 2011 PROSE Award in the Mathematics category, for the book “Statistics for Spatio-Temporal Data” (2011), published by John Wiley and Sons. (The PROSE awards, for Professional and Scholarly Excellence, are given by the Association of American Publishers, the national trade association of the US book publishing industry.) Statistics for Spatio-Temporal Data has now been reprinted with small corrections to the text and the bibliography. The overall content and pagination of the new printing remains the same; the difference comes in the form of corrections to typographical errors, editing of incomplete and missing references, and some updated spatio-temporal interpretations. From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models. Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes. Topics of coverage include: Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes Development of hierarchical dynamical spatio-temporal models (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation Quantifying and exploring spatio-temporal variability in scientific applications, including case studies based on real-world environmental data Throughout the book, interesting applications demonstrate the relevance of the presented concepts. Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material. Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics. It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
English landscape watercolor painting, a perfect marriage of genre and medium, entered a lively period of experimentation in style and content during the second half of the nineteenth century, with rich and diverse results. Through all the changes of style and technique and all the debates over the appropriate use of the medium, it was watercolor's ability to convey the timeless truth and reality of the natural world that mattered to artists, critics, and audiences. British watercolors of the Victorian period continued to observe an essential humility before nature; they remain fresh and compellingly immediate because they derived in the first place from the artists' heartfelt communion with the elements of nature. Victorian Landscape Watercolors begins with a consideration of the continuing influence of the great generation who earlier in the century, during the extraordinary parallel rise of watercolor and landscape painting, had established the landscape watercolor as a major British contribution to the arts. The second chapter examines the role of the landscape watercolor in the aesthetic thought of John Ruskin, whose critical voice played a dominant role in shaping that art. The third chapter looks at the place of landscape within the watercolor societies and its development as it appeared in their annual exhibitions. The final chapter deals with the tug of new and old, foreign and native in the later Victorian period. The book also features 126 watercolors, from public and private collections in America and England, all reproduced in full color and accompanied by individual commentaries. Among the 76 artists represented are David Cox, Sr. and Jr., Walter Crane, William HolmanHunt, Edward Lear, Samuel Palmer, James Mallord William Turner, James McNeill Whistler, and Ruskin himself, along with dozens of lesser-known masters of the medium. Victorian Landscape Watercolors is published in conjunction with the first exhibition to survey this period of this particularly British contribution to the arts; the exhibition, organized by the Yale Center for British Art in New Haven, Connecticut, will also be seen at the Cleveland Museum of Art and in Birmingham, England.
Fat: such a little word evokes big responses. While ‘fat’ describes the size and shape of bodies, our negative reactions to corpulent bodies also depend on something tangible and tactile; as this book argues, there is more to fat than meets the eye. Fat: A Cultural History of the Stuff of Life offers a historical reflection on how fat has been perceived and imagined in the West since antiquity. Featuring fascinating historical accounts, philosophical, religious and cultural arguments, including discussions of status, gender and race, the book digs deep into the past for the roots of our current notions and prejudices. Three central themes emerge: how we have perceived and imagined obesity over the centuries; how fat as a substance has elicited disgust and how it evokes perceptions of animality; but also how it has been associated with vitality and fertility. By exploring the complex ways in which fat, fatness and fattening have been perceived over time, this book provides rich insights into the stuff our stereotypes are made of.
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