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Manipulating the Sun
This volume puts two biblical miracles - the Sun reversing its course in II Kings 20:8-11/Isaiah 38:8 (Horologium Ahaz) and the Sun standing still in Joshua 10:12 -, in the early modern period centre stage. We pay special attention to the development of related imagery, their role as anti-Copernican arguments (in text and image), their reception, their treatment in the mathematical sciences, and their various cultural layers, with a focus on the history of art and the history of science in the sixteenth and seventeenth centuries. The material discussed spreads from rather prosaic mathematical reflections to highly appealing visual representations of the two miracles.
Centres and Cycles of Accumulation in and Around the Netherlands During the Early Modern Period
The Netherlands housed a number of widely-known, envied, and emulated centers of accumulation during the early-modern period. Raw and manufactured goods passed through Dutch port cities, linking the country to global cycles of accumulation and exchange. Its institutions of learning and culture similarly served as internationally famous centers of accumulation that furthered knowledge and cultural production, embodied in the form of books, maps, prints, exhibits, and the like. This collection of essays brings together the Dutch histories of manufacture, commerce, and global exchange along with the histories of knowledge and cultural circulation during the 17th and 18th centuries by anatomizin...
Descartes et la fabrique du monde
« Descartes ne qualifie sa cosmologie que sous le modeste diminutif d’une “fable du monde”. Ceci peut s’interpréter comme l’aveu d’une impuissance de la raison à atteindre l’authentique fabrique du monde. Mais avant d’être une fiction dénuée de toute vérité, une fable est d’abord un récit, comme celui que l’Écriture propose au premier livre de la Genèse. Nous enquêtons ici sur le commentaire cartésien de la Genèse, texte perdu, mais suffisamment avancé pour que Descartes envisageât, en 1640, de le soumettre à l’approbation de la Sorbonne. Qu’y aurait-il montré ? Qu’en concevant le mouvement comme une séparation réciproque des parties de l’étendue, il se conformait à la lettre au récit mosaïque de la création. Descartes s’appuie sur une lecture précise de la Genèse, mais une lecture si originale et si peu orthodoxe qu’il doit presque aussitôt renoncer à en faire une caution pour sa philosophie naturelle. Nous enquêtons donc moins sur cet In Genesim, que sur les raisons de sa disparition. »
David Gorlaeus (1591-1612)
When David Gorlaeus (1591-1612) passed away at 21 years of age, he left behind two highly innovative manuscripts. Once they were published, his work had a remarkable impact on the evolution of seventeenth-century thought. However, as his identity was unknown, divergent interpretations of their meaning quickly sprang up. Seventeenth-century readers understood him as an anti-Aristotelian thinker and as a precursor of Descartes. Twentieth-century historians depicted him as an atomist, natural scientist and even as a chemist. And yet, when Gorlaeus died, he was a beginning student in theology. His thought must in fact be placed at the intersection between philosophy, the nascent natural sciences...
Bayesian Biostatistics
The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world...
Applied Multivariate Statistics with R
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.
Statistical Analysis of Network Data with R
Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).
New Statistics with R
An introductory level text covering linear, generalized linear, linear mixed-effects, and generalized mixed models implemented in R and set within a contemporary framework.
Total Marrow Irradiation
This book, written by a team of international experts, concisely reviews the rationale and clinical application of image-guided total marrow irradiation, a rapidly emerging area in radiation oncology and hematopoietic cell transplantation. The aim is to provide the practicing radiation oncologist, hematologist, medical physicist, and bone marrow transplant researcher with a fundamental understanding of key aspects and an appreciation of the increasing significance of total marrow irradiation as conditioning for bone marrow transplantation. Detailed attention is paid to the impacts of recent advances in radiation therapy technology, functional PET and MRI, and understanding of the response of...
