Author: Olwyn Owen
Publisher: Society Antiquaries Scotland
ISBN: 0903903148
Category : Dunbar (Scotland)
Languages : en
Pages : 363
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Book Description
The story of Kebister was a constant surprise to archaeologists and has opened a remarkable window on 4000 years of Shetland's past.
Author: R. Chuaqui
Publisher: Elsevier
ISBN: 0080872778
Category : Mathematics
Languages : en
Pages : 505
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Book Description
Anyone involved in the philosophy of science is naturally drawn into the study of the foundations of probability. Different interpretations of probability, based on competing philosophical ideas, lead to different statistical techniques, and frequently to mutually contradictory consequences.This unique book presents a new interpretation of probability, rooted in the traditional interpretation that was current in the 17th and 18th centuries. Mathematical models are constructed based on this interpretation, and statistical inference and decision theory are applied, including some examples in artificial intelligence, solving the main foundational problems. Nonstandard analysis is extensively developed for the construction of the models and in some of the proofs. Many nonstandard theorems are proved, some of them new, in particular, a representation theorem that asserts that any stochastic process can be approximated by a process defined over a space with equiprobable outcomes.
Author: Michael Robin Alexander Chance
Publisher: London ; New York : Wiley
ISBN:
Category : Political Science
Languages : en
Pages : 392
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Book Description
Author: Richard Lowry
Publisher: Oxford University Press, USA
ISBN: 9780195056082
Category : Mathematics
Languages : en
Pages : 196
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Book Description
Undergraduate textbooks for statistics courses in the behavioral, biological, and social sciences must devote so much space to the nuts-and-bolts details of statistical methods that they have little left over for the larger conceptual framework of probability theory. This brief, lucid book fills the gap with its intelligible and in-depth explanation of probability, laid out step-by-step in a clear and congenial fashion. Even the student with little background in mathematics will find it readable and accessible.
Author: Lee Walters
Publisher: Oxford University Press
ISBN: 0191021342
Category : Philosophy
Languages : en
Pages : 279
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Book Description
Conditionals, Paradox, and Probability brings together fifteen original essays by experts in philosophy and linguistics. These specially written chapters draw on themes from the work of Dorothy Edgington, the first woman to hold a chair in philosophy at the University of Oxford. The contributors to this volume focus on the key topics to which Edgington has made many important contributions, including conditionals, vagueness, the paradox of knowability, and probability. Their insights will be of interest to philosophers, linguists, and psychologists working in philosophical logic, natural language semantics, and reasoning.
Author: Matthias Dehmer
Publisher: Springer Science & Business Media
ISBN: 0817649042
Category : Mathematics
Languages : en
Pages : 409
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Book Description
For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. This volume is the first to present a self-contained, comprehensive overview of information-theoretic models of complex networks with an emphasis on applications. As such, it marks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networks for all scientific disciplines and can serve as a valuable resource for a diverse audience of advanced students and professional scientists. While it is primarily intended as a reference for research, the book could also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.
Author: Richard J. Rossi
Publisher: John Wiley & Sons
ISBN: 1118770978
Category : Mathematics
Languages : en
Pages : 444
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Book Description
Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function This book addresses mathematical statistics for upper-undergraduates and first year graduate students, tying chapters on estimation, confidence intervals, hypothesis testing, and statistical models together to present a unifying focus on the likelihood function. It also emphasizes the important ideas in statistical modeling, such as sufficiency, exponential family distributions, and large sample properties. Mathematical Statistics: An Introduction to Likelihood Based Inference makes advanced topics accessible and understandable and covers many topics in more depth than typical mathematical statistics textbooks. It includes numerous examples, case studies, a large number of exercises ranging from drill and skill to extremely difficult problems, and many of the important theorems of mathematical statistics along with their proofs. In addition to the connected chapters mentioned above, Mathematical Statistics covers likelihood-based estimation, with emphasis on multidimensional parameter spaces and range dependent support. It also includes a chapter on confidence intervals, which contains examples of exact confidence intervals along with the standard large sample confidence intervals based on the MLE's and bootstrap confidence intervals. There’s also a chapter on parametric statistical models featuring sections on non-iid observations, linear regression, logistic regression, Poisson regression, and linear models. Prepares students with the tools needed to be successful in their future work in statistics data science Includes practical case studies including real-life data collected from Yellowstone National Park, the Donner party, and the Titanic voyage Emphasizes the important ideas to statistical modeling, such as sufficiency, exponential family distributions, and large sample properties Includes sections on Bayesian estimation and credible intervals Features examples, problems, and solutions Mathematical Statistics: An Introduction to Likelihood Based Inference is an ideal textbook for upper-undergraduate and graduate courses in probability, mathematical statistics, and/or statistical inference.
Author: Oak Ridge National Laboratory. Mathematics Division. Statistics Group
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 186
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Book Description
Author: Andreas Schmitz
Publisher: Springer
ISBN: 3319435302
Category : Social Science
Languages : en
Pages : 230
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Book Description
This work approaches the modern phenomenon of online dating, examining the ways people make use of its technical and social potential. In particular, the users' mate preferences, choices, strategies, and interactions are analyzed using the innovative method of click-stream observations and web-questionnaire data. For the purpose of these analyses, two major theories are used - an explicit theory of individual mate choice, and the more general relational theory developed by Pierre Bourdieu, which helps to highlight the social structures both underlying and resulting from mating online. Results show that online dating is not a partner marker free from social structure, but that the traditional social conditions found offline are also reproduced in this virtual setting. In contrast to the picture drawn by media discourse and advertising, online dating represents a partner market which fulfills the promise of happiness in a socially differential way.
Author: David Wylot
Publisher: Routledge
ISBN: 1000763323
Category : Literary Criticism
Languages : en
Pages : 213
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Book Description
In Reading Contingency: The Accident in Contemporary Fiction, David Wylot constructs an innovative study of the relationship between plotted accidents in twenty-first century British and American fiction, the phenomenology of reading, and a contemporary experience of time that is increasingly understood to be contingent and accidental. A synthesis of literary and cultural analysis, narratology, critical theories of time and the philosophy of contingency, the book explores the accident’s imagination of contemporary time and the relationship between reading and living in novels by writers including A.M. Homes, Nicola Barker, Noah Hawley, J.M. Coetzee, J.G. Ballard, Jesmyn Ward, Jennifer Egan, and Tom McCarthy.
