Michael Falk

This book offers a new critique of selfhood in Romantic literature. In the past, Romanticism has been seen as an individualistic movement, with writers believing in the ‘centrality’ of the self. Challenging this prevailing view of Romanticism and the modern self, this study unveils an alternative tradition of Romantic writing in which the self is fragile, degenerate, non-existent – or in a word, contingent. It combines philosophy, intellectual history, literary studies and digital humanities and takes a transnational approach both in its coverage of philosophical thought and literature, including case studies from England, Ireland, Scotland and colonial Australia, with examples from American and European works as well. The book also uses innovative digital techniques such as text analysis, sentiment mining and network analysis to enrich the exploration of text and context. It covers all major genres of Romantic writing: fiction (realist novels), poetry (the sonnet), non-fiction prose (biography) and drama (gothic tragedy). Providing a new framework for understanding the contingent self, this book is of interest to scholars and students of Romantic literature, philosophy of the self and digital humanities.

This book offers a new critique of selfhood in Romantic literature. In the past, Romanticism has been seen as an individualistic movement, with writers believing in the ‘centrality’ of the self. Challenging this prevailing view of Romanticism and the modern self, this study unveils an alternative tradition of Romantic writing in which the self is fragile, degenerate, non-existent – or in a word, contingent. It combines philosophy, intellectual history, literary studies and digital humanities and takes a transnational approach both in its coverage of philosophical thought and literature, including case studies from England, Ireland, Scotland and colonial Australia, with examples from American and European works as well. The book also uses innovative digital techniques such as text analysis, sentiment mining and network analysis to enrich the exploration of text and context. It covers all major genres of Romantic writing: fiction (realist novels), poetry (the sonnet), non-fiction prose (biography) and drama (gothic tragedy). Providing a new framework for understanding the contingent self, this book is of interest to scholars and students of Romantic literature, philosophy of the self and digital humanities.

This monograph compiles the contemporary knowledge about D-norms and provides an introductory tour through the essentials of multivariate extreme value theory. Following a clear introduction of D-norms, this book introduces links with the theory through multivariate generalized Pareto distributions and max stable distributions. Further views on D-norms from a functional analysis perspective and from stochastic geometry underline the aim of this book to reveal mathematical structures. This book is intended for mathematicians with a basic knowledge of analysis and probability theory, including Fubini's theorem.

"Statistik in Theorie und Praxis" schlägt die Brücke statistischer Theorie und realen praktischen Anwendungen. Zum einen wird Wert auf eine saubere Herleitung der gängigen statistischen Verfahren gelegt. Zum anderen beinhaltet der zweite Themenschwerpunkt reale Anwendungen der Methoden in der Praxis. Darüber hinaus werden Projekte an der Schnittstelle zwischen Schul- und Hochschulunterricht vorgestellt. Als Software dient das kostenlose Programm R mit der zugehörigen grafischen Oberfläche R-Commander; die zahlreichen Programmbeispiele ermöglichen es, die vorgestellten Themen selbst nachzuvollziehen. Für die Lektüre werden lediglich elementare Stochastik-Kenntnisse vorausgesetzt.

? In Wissenschaft und Praxis ist die Notwendigkeit zur integrierten Betrachtung von IT-Compliance unbestritten. Es fehlt jedoch der Überblick über die Vielzahl der – häufig nur unzureichend konkret formulierten – regulatorischen Anforderungen und der branchenüblichen Best-Practices sowie die Methode, diese Anforderungen effizient umzusetzen. Michael Falk untersucht, wie sich existierende Standards und Referenzmodelle als Lösungsansätze anbieten können und durch überschneidungsfreie Kombination die Anforderungskonformität der IT effektiv und effizient unterstützt werden kann.

Since the publication of the first edition of this seminar book in 1994, the theory and applications of extremes and rare events have enjoyed an enormous and still increasing interest. The intention of the book is to give a mathematically oriented development of the theory of rare events underlying various applications. This characteristic of the book was strengthened in the second edition by incorporating various new results. In this third edition, the dramatic change of focus of extreme value theory has been taken into account: from concentrating on maxima of observations it has shifted to large observations, defined as exceedances over high thresholds. One emphasis of the present third edition lies on multivariate generalized Pareto distributions, their representations, properties such as their peaks-over-threshold stability, simulation, testing and estimation. Reviews of the 2nd edition: "In brief, it is clear that this will surely be a valuable resource for anyone involved in, or seeking to master, the more mathematical features of this field." David Stirzaker, Bulletin of the London Mathematical Society "Laws of Small Numbers can be highly recommended to everyone who is looking for a smooth introduction to Poisson approximations in EVT and other fields of probability theory and statistics. In particular, it offers an interesting view on multivariate EVT and on EVT for non-iid observations, which is not presented in a similar way in any other textbook." Holger Drees, Metrika

In der Regel ist die Analyse realer Datensiitze mittels statistischer Methoden unter Zuhilfenahme eines in Industrie und Verwaltung weitverbreiteten Soft- warepaketes kein integraler Bestandteil eines Mathematikstudiums, gehort aber typischerweise zum spiiteren Berufsfeld. Das vorliegende Buch soll diese Lucke schlieBen helfen, indem es eine Ver- bindung zwischen der mathematischen Statistik und einer Auswahl von in der Praxis angewendeten statistischen Verfahren unter Einbeziehung des statisti- schen Softwarepaketes SAS (. s. tatistical Analysis £ystem) herstellt. Das Buch richtet sich daher an Studenten der Mathematik sowie an Studenten angewand- ter Disziplinen wie der Wirtschafts- und Sozialwissenschaften, Biometrie und Psychologie, zu deren Ausbildung Statistik-Veranstaltungen gehoren. Es wen- det sich aber auch an den Praktiker, der sich uber die Anwendung statistischer Verfahren hinaus fUr deren mathematische Hintergrunde interessiert. Zahlreiche Problemstellungen illustrieren die Anwendungsmoglichkeiten der vorgestellten statistischen Verfahren, wobei Losungen unter Verwendung von SAS angegeben sind. Die zugehorigen Programme sind explizit aufgefUhrt und erliiutert. Diese Programme sowie die verwendeten Datensiitze stehen unter der Internetadresse http: //statistik. mathematik. uni-wuerzburg. de/ falk/sasdiskette/ zum Download bereit. Zusiitzlich sind in einem Appendix die Grundlagen von SAS (Version 6. xx) zusammengestellt. Dazu werden keinerlei Vorkenntnisse vor- ausgesetzt, weder in SAS noch in einem speziellen Betriebssystem, so daB eine schnelle Einarbeitung in SAS gewiihrleistet ist. Das Buch ist konzipiert fUr eine zweisemestrige statistische Veranstaltung (Vorlesung, Seminar oder Praktikum), wobei die ersten vier Kapitel im erst en Semester behandelt werden konnen.

Commonly there is no natural place in a traditional curriculum for mathematics or statistics, where a bridge between theory and practice fits into. On the other hand, the demand for an education designed to supplement theoretical training by practial experience has been rapidly increasing. There exists, consequently, a bit of a dichotomy between theoretical and applied statistics, and this book tries to straddle that gap. It links up the theory of a selection of statistical procedures used in general practice with their application to real world data sets using the statistical software package SAS (Statistical Analysis System). These applications are intended to illustrate the theory and to provide, simultaneously, the ability to use the knowledge effectively and readily in execution.