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Author : Domhnall Mitchell
Publisher : Liverpool University Press
Page : 448 pages
File Size : 20,52 MB
Release : 2005-01-01
Category : Literary Criticism
ISBN : 9781558494626
"The author confronts the thorny question of whether any set of editing practices can adequately represent in print the distinctive characteristics of Emily Dickinson's writing".--BOOKJACKET.
Author : Patrick Billingsley
Publisher : John Wiley & Sons
Page : 612 pages
File Size : 26,80 MB
Release : 2017
Category :
ISBN : 9788126517718
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.· Probability· Measure· Integration· Random Variables and Expected Values· Convergence of Distributions· Derivatives and Conditional Probability· Stochastic Processes
Author : Didier Dubois
Publisher : Springer Science & Business Media
Page : 274 pages
File Size : 20,15 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 1468452878
In the evolution of scientific theories, concern with uncertainty is almost invariably a concomitant of maturation. This is certainly true of the evolution· of physics, economics, operations research, communication sciences, and a host of other fields. And it is true of what has been happening more recently in the area of artificial intelligence, most notably in the development of theories relating to the management of uncertainty in knowledge-based systems. In science, it is traditional to deal with uncertainty through the use of probability theory. In recent years, however, it has become increasingly clear that there are some important facets of uncertainty which do not lend themselves to analysis by classical probability-based methods. One such facet is that of lexical elasticity, which relates to the fuzziness of words in natural languages. As a case in point, even a simple relation X, Y, and Z, expressed as if X is small and Y is very large then between Z is not very small, does not lend itself to a simple interpretation within the framework of probability theory by reason of the lexical elasticity of the predicates small and large.
Author : Marek Capinski
Publisher : Springer Science & Business Media
Page : 229 pages
File Size : 38,94 MB
Release : 2013-06-29
Category : Mathematics
ISBN : 1447136314
This very well written and accessible book emphasizes the reasons for studying measure theory, which is the foundation of much of probability. By focusing on measure, many illustrative examples and applications, including a thorough discussion of standard probability distributions and densities, are opened. The book also includes many problems and their fully worked solutions.
Author : R. Chuaqui
Publisher : Elsevier
Page : 505 pages
File Size : 14,95 MB
Release : 1991-06-20
Category : Mathematics
ISBN : 0080872778
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 : Basel Solaiman
Publisher : Springer Nature
Page : 294 pages
File Size : 24,24 MB
Release : 2019-12-26
Category : Mathematics
ISBN : 3030328538
This practical guidebook describes the basic concepts, the mathematical developments, and the engineering methodologies for exploiting possibility theory for the computer-based design of an information fusion system where the goal is decision support for industries in smart ICT (information and communications technologies). This exploitation of possibility theory improves upon probability theory, complements Dempster-Shafer theory, and fills an important gap in this era of Big Data and Internet of Things. The book discusses fundamental possibilistic concepts: distribution, necessity measure, possibility measure, joint distribution, conditioning, distances, similarity measures, possibilistic decisions, fuzzy sets, fuzzy measures and integrals, and finally, the interrelated theories of uncertainty..uncertainty. These topics form an essential tour of the mathematical tools needed for the latter chapters of the book. These chapters present applications related to decision-making and pattern recognition schemes, and finally, a concluding chapter on the use of possibility theory in the overall challenging design of an information fusion system. This book will appeal to researchers and professionals in the field of information fusion and analytics, information and knowledge processing, smart ICT, and decision support systems.
Author : Kenneth David Jamison
Publisher :
Page : 18 pages
File Size : 14,53 MB
Release : 2001
Category : Fuzzy measure theory
ISBN :
Author : Irina Georgescu
Publisher : Springer Science & Business Media
Page : 130 pages
File Size : 45,18 MB
Release : 2012-01-13
Category : Computers
ISBN : 3642247393
The book deals with some of the fundamental issues of risk assessment in grid computing environments. The book describes the development of a hybrid probabilistic and possibilistic model for assessing the success of a computing task in a grid environment
Author : Louise Amoore
Publisher : Duke University Press
Page : 233 pages
File Size : 46,48 MB
Release : 2013-11-13
Category : Social Science
ISBN : 0822377268
Since September 11, 2001, the imagination of "low probability, high consequence" events has become a distinctive feature of contemporary politics. Uncertain futures—devastation by terrorist attack, cyber crime, flood, financial market collapse—must be discerned and responded to as possibilities, however improbable they may be. In The Politics of Possibility, Louise Amoore examines this development, tracing its genealogy through the diverse worlds of risk management consulting, computer science, commercial logistics, and data visualization. She focuses on the increasingly symbiotic relationship between commercial opportunities and state security threats, a relation that turns the trusted, iris-scanned traveler into "a person of national security interest," and the designer of risk algorithms for casino and insurance fraud into a homeland security resource. Juxtaposing new readings of Agamben, Foucault, Derrida, Massumi, and Connolly with interpretations of post–9/11 novels and artworks, Amoore analyzes the "politics of possibility" and its far-reaching implications for society, associative life, and political accountability.
Author : Bruce Goldstone
Publisher : Macmillan
Page : 34 pages
File Size : 16,85 MB
Release : 2013-06-04
Category : Juvenile Nonfiction
ISBN : 0805089985
With colorful photographs and interactive examples, Bruce Goldstone's That's a Possibility introduces children to the ideas of something being possible, probable, or impossible. Each spread features an easy-to-understand scenario such as dice rolling, with questions about probable outcomes and simple explanations. In the vein of Great Estimations, this is a perfect book for getting across important math concepts in a fun way. This title has Common Core connections.