An Irrational Normality

This books explores the relationships between learning, democratic citizenship and the public sphere from thee interconnected angles: theory, methodology and research. The main message of the book is that civic learning necessarily has a public character, as it is learning that emerges from engagement in democratic processes and practices that occur both at the centre and the margins of society. Through a combination of theoretical development, methodological reflection and empirical case study, the chapters in the book provide new insights in the complexities of learning in the context of the ongoing struggle for democracy.

Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences. The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors. The book is based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields. Discusses how to use the standard statistical tests in the biomedical field, as well as how to make statistical inferences (t test, ANOVA, regression etc.) Includes non-standards tests, including equivalence or non-inferiority testing, extreme value statistics, cross-over tests, and simple time series procedures such as the runs test and Cusums Introduces procedures such as multiple regression, Poisson regression, meta-analysis and resampling statistics, and provides references for further studies

Illness as a Work of Thought is a practical application of Foucault's archaeological and genealogical methods of the study of illness and modernity. From medicine and psychiatry to psychology and the social sciences, Monica Greco explores what the history of these different disciplines contributes to what we understand by the term 'psychosomatics' and analyses how the study of psychosomatic illness can transform the way we think of illness, subjectivity and the ethics and politics of health.

Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors. Many of the examples are introduced from a different perspective than in other books and theoretical ideas can be gradually absorbed while doing computer experiments. Theoretically less prepared students can appreciate the deep theorems by doing various simulations. The computer experiments are simple but they have close ties with theoretical implications. Even the researchers in the field can benefit by checking their conjectures, which might have been regarded as unrealistic to be programmed easily, against numerical output using some of the ideas in the book. One last remark: The last chapter explains the relation between entropy and data compression, which belongs to information theory and not to ergodic theory. It will help students to gain an understanding of the digital technology that has shaped the modern information society.

This book is a major new contribution to decision theory, focusing on the question of when it is rational to accept scientific theories. The author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that the most solid foundation for confirmation theory is to be found in decision theory, and he provides a decision-theoretic derivation of principles for how many probabilities should be revised over time. Professor Maher defines a notion of accepting a hypothesis, and then shows that it is not reducible to probability and that it is needed to deal with some important questions in the philosophy of science. A Bayesian decision-theoretic account of rational acceptance is provided together with a proof of the foundations for this theory. A final chapter shows how this account can be used to cast light on such vexing issues as verisimilitude and scientific realism.

This book documents the history of pi from the dawn of mathematical time to the present. One of the beauties of the literature on pi is that it allows for the inclusion of very modern, yet accessible, mathematics. The articles on pi collected herein fall into various classes. First and foremost there is a selection from the mathematical and computational literature of four millennia. There is also a variety of historical studies on the cultural significance of the number. Additionally, there is a selection of pieces that are anecdotal, fanciful, or simply amusing. For this new edition, the authors have updated the original material while adding new material of historical and cultural interest. There is a substantial exposition of the recent history of the computation of digits of pi, a discussion of the normality of the distribution of the digits, and new translations of works by Viete and Huygen.

Represents a sociological history of how deaf people came to be classified as disabled, from the 17th century through the 1990s.

Relevance drives our actions and channels our attention; it shapes how we make sense of the world and communicate with each other. Irrelevance spreads a twilight which blurs the line between information we do not want to access and information we cannot access. In disciplines as diverse as philosophy, sociology, the information sciences and linguistics, “relevance” has been proposed as a key concept. This book is the first to bring together the often unrelated traditions. Researchers from different fields discuss relevance and relate it to the challenges of “irrelevance”, which have so far been neglected despite their significance for our chances of making well-informed decisions and understanding others. The contributions focus on theoretical and conceptual questions, on specific factors and fields, and on practical and political implications of relevance and irrelevance as forces which are even stronger when they remain in the background.