Quantification

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Quantification

Author : Anna Szabolcsi
Publisher : Cambridge University Press
ISBN 13 : 113949158X
Total Pages : 265 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Quantification by : Anna Szabolcsi

Download or read book Quantification written by Anna Szabolcsi and published by Cambridge University Press. This book was released on 2010-01-17 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantification forms a significant aspect of cross-linguistic research into both sentence structure and meaning. This book surveys research in quantification starting with the foundational work in the 1970s. It paints a vivid picture of generalized quantifiers and Boolean semantics. It explains how the discovery of diverse scope behaviour in the 1990s transformed the view of quantification, and how the study of the internal composition of quantifiers has become central in recent years. It presents different approaches to the same problems, and links modern logic and formal semantics to advances in generative syntax. A unique feature of the book is that it systematically brings cross-linguistic data to bear on the theoretical issues, covering French, German, Dutch, Hungarian, Russian, Japanese, Telugu (Dravidian), and Shupamem (Grassfield Bantu) and points to formal semantic literature involving quantification in around thirty languages.

The Seductions of Quantification

Author : Sally Engle Merry
Publisher : University of Chicago Press
ISBN 13 : 022626131X
Total Pages : 260 pages
Book Rating : 4.2/5 (262 download)

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Book Synopsis The Seductions of Quantification by : Sally Engle Merry

Download or read book The Seductions of Quantification written by Sally Engle Merry and published by University of Chicago Press. This book was released on 2016-06-10 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in a world where seemingly everything can be measured. We rely on indicators to translate social phenomena into simple, quantified terms, which in turn can be used to guide individuals, organizations, and governments in establishing policy. Yet counting things requires finding a way to make them comparable. And in the process of translating the confusion of social life into neat categories, we inevitably strip it of context and meaning—and risk hiding or distorting as much as we reveal. With The Seductions of Quantification, leading legal anthropologist Sally Engle Merry investigates the techniques by which information is gathered and analyzed in the production of global indicators on human rights, gender violence, and sex trafficking. Although such numbers convey an aura of objective truth and scientific validity, Merry argues persuasively that measurement systems constitute a form of power by incorporating theories about social change in their design but rarely explicitly acknowledging them. For instance, the US State Department’s Trafficking in Persons Report, which ranks countries in terms of their compliance with antitrafficking activities, assumes that prosecuting traffickers as criminals is an effective corrective strategy—overlooking cultures where women and children are frequently sold by their own families. As Merry shows, indicators are indeed seductive in their promise of providing concrete knowledge about how the world works, but they are implemented most successfully when paired with context-rich qualitative accounts grounded in local knowledge.

Interpretive Quantification

Author : J. Samuel Barkin
Publisher : University of Michigan Press
ISBN 13 : 0472053396
Total Pages : 291 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Interpretive Quantification by : J. Samuel Barkin

Download or read book Interpretive Quantification written by J. Samuel Barkin and published by University of Michigan Press. This book was released on 2017-01-27 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revolutionary volume demonstrates how crossing the positivist and post-positivist divide improves political science research

Uncertainty Quantification and Stochastic Modeling with Matlab

Author : Eduardo Souza de Cursi
Publisher : Elsevier
ISBN 13 : 0081004710
Total Pages : 456 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Uncertainty Quantification and Stochastic Modeling with Matlab by : Eduardo Souza de Cursi

Download or read book Uncertainty Quantification and Stochastic Modeling with Matlab written by Eduardo Souza de Cursi and published by Elsevier. This book was released on 2015-04-09 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics, mathematics, probability and engineering, but also within the natural sciences. Literature on the topic has up until now been largely based on polynomial chaos, which raises difficulties when considering different types of approximation and does not lead to a unified presentation of the methods. Moreover, this description does not consider either deterministic problems or infinite dimensional ones. This book gives a unified, practical and comprehensive presentation of the main techniques used for the characterization of the effect of uncertainty on numerical models and on their exploitation in numerical problems. In particular, applications to linear and nonlinear systems of equations, differential equations, optimization and reliability are presented. Applications of stochastic methods to deal with deterministic numerical problems are also discussed. Matlab® illustrates the implementation of these methods and makes the book suitable as a textbook and for self-study. Discusses the main ideas of Stochastic Modeling and Uncertainty Quantification using Functional Analysis Details listings of Matlab® programs implementing the main methods which complete the methodological presentation by a practical implementation Construct your own implementations from provided worked examples

Spectral Methods for Uncertainty Quantification

Author : Olivier Le Maitre
Publisher : Springer Science & Business Media
ISBN 13 : 9048135206
Total Pages : 536 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Spectral Methods for Uncertainty Quantification by : Olivier Le Maitre

Download or read book Spectral Methods for Uncertainty Quantification written by Olivier Le Maitre and published by Springer Science & Business Media. This book was released on 2010-03-11 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the application of spectral methods to problems of uncertainty propagation and quanti?cation in model-based computations. It speci?cally focuses on computational and algorithmic features of these methods which are most useful in dealing with models based on partial differential equations, with special att- tion to models arising in simulations of ?uid ?ows. Implementations are illustrated through applications to elementary problems, as well as more elaborate examples selected from the authors’ interests in incompressible vortex-dominated ?ows and compressible ?ows at low Mach numbers. Spectral stochastic methods are probabilistic in nature, and are consequently rooted in the rich mathematical foundation associated with probability and measure spaces. Despite the authors’ fascination with this foundation, the discussion only - ludes to those theoretical aspects needed to set the stage for subsequent applications. The book is authored by practitioners, and is primarily intended for researchers or graduate students in computational mathematics, physics, or ?uid dynamics. The book assumes familiarity with elementary methods for the numerical solution of time-dependent, partial differential equations; prior experience with spectral me- ods is naturally helpful though not essential. Full appreciation of elaborate examples in computational ?uid dynamics (CFD) would require familiarity with key, and in some cases delicate, features of the associated numerical methods. Besides these shortcomings, our aim is to treat algorithmic and computational aspects of spectral stochastic methods with details suf?cient to address and reconstruct all but those highly elaborate examples.

Introduction to Uncertainty Quantification

Author : T.J. Sullivan
Publisher : Springer
ISBN 13 : 3319233955
Total Pages : 342 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Introduction to Uncertainty Quantification by : T.J. Sullivan

Download or read book Introduction to Uncertainty Quantification written by T.J. Sullivan and published by Springer. This book was released on 2015-12-14 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined and an overview of the range of mathematical methods by which they can be achieved. Complete with exercises throughout, the book will equip readers with both theoretical understanding and practical experience of the key mathematical and algorithmic tools underlying the treatment of uncertainty in modern applied mathematics. Students and readers alike are encouraged to apply the mathematical methods discussed in this book to their own favorite problems to understand their strengths and weaknesses, also making the text suitable for a self-study. Uncertainty quantification is a topic of increasing practical importance at the intersection of applied mathematics, statistics, computation and numerous application areas in science and engineering. This text is designed as an introduction to UQ for senior undergraduate and graduate students with a mathematical or statistical background and also for researchers from the mathematical sciences or from applications areas who are interested in the field. T. J. Sullivan was Warwick Zeeman Lecturer at the Mathematics Institute of the University of Warwick, United Kingdom, from 2012 to 2015. Since 2015, he is Junior Professor of Applied Mathematics at the Free University of Berlin, Germany, with specialism in Uncertainty and Risk Quantification.

A Companion to the History of the Book

Author : Simon Eliot
Publisher : John Wiley & Sons
ISBN 13 : 1444356585
Total Pages : 617 pages
Book Rating : 4.4/5 (443 download)

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Book Synopsis A Companion to the History of the Book by : Simon Eliot

Download or read book A Companion to the History of the Book written by Simon Eliot and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: A COMPANION TO THE HISTORY OF THE BOOK A COMPANION TO THE HISTORY OF THE BOOK Edited by Simon Eliot and Jonathan Rose “As a stimulating overview of the multidimensional present state of the field, the Companion has no peer.” Choice “If you want to understand how cultures come into being, endure, and change, then you need to come to terms with the rich and often surprising history Of the book ... Eliot and Rose have done a fine job. Their volume can be heartily recommended. “ Adrian Johns, Technology and Culture From the early Sumerian clay tablet through to the emergence of the electronic text, this Companion provides a continuous and coherent account of the history of the book. A team of expert contributors draws on the latest research in order to offer a cogent, transcontinental narrative. Many of them use illustrative examples and case studies of well-known texts, conveying the excitement surrounding this rapidly developing field. The Companion is organized around four distinct approaches to the history of the book. First, it introduces the variety of methods used by book historians and allied specialists, from the long-established discipline of bibliography to newer IT-based approaches. Next, it provides a broad chronological survey of the forms and content of texts. The third section situates the book in the context of text culture as a whole, while the final section addresses broader issues, such as literacy, copyright, and the future of the book. Contributors to this volume: Michael Albin, Martin Andrews, Rob Banham, Megan L Benton, Michelle P. Brown, Marie-Frangoise Cachin, Hortensia Calvo, Charles Chadwyck-Healey, M. T. Clanchy, Stephen Colclough, Patricia Crain, J. S. Edgren, Simon Eliot, John Feather, David Finkelstein, David Greetham, Robert A. Gross, Deana Heath, Lotte Hellinga, T. H. Howard-Hill, Peter Kornicki, Beth Luey, Paul Luna, Russell L. Martin Ill, Jean-Yves Mollier, Angus Phillips, Eleanor Robson, Cornelia Roemer, Jonathan Rose, Emile G. L Schrijver, David J. Shaw, Graham Shaw, Claire Squires, Rietje van Vliet, James Wald, Rowan Watson, Alexis Weedon, Adriaan van der Weel, Wayne A. Wiegand, Eva Hemmungs Wirtén.

Project Risk Quantification

Author : John K. Hollmann
Publisher :
ISBN 13 : 9781941075029
Total Pages : 416 pages
Book Rating : 4.0/5 (75 download)

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Book Synopsis Project Risk Quantification by : John K. Hollmann

Download or read book Project Risk Quantification written by John K. Hollmann and published by . This book was released on 2016-06-28 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project Risk Quantification presents the most practical, realistic, and integrated approach to project cost and schedule Risk Quantification that is available today. It offers proven, empirically-valid methods and tools applicable to projects of all types and at all decision gates. The text is written for both the manager and the risk analysis practitioner. It will bring reliable accuracy and contingency determination to your capital project organization.

An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

Author : Luis Tenorio
Publisher : SIAM
ISBN 13 : 1611974917
Total Pages : 275 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems by : Luis Tenorio

Download or read book An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems written by Luis Tenorio and published by SIAM. This book was released on 2017-07-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inverse problems are found in many applications, such as medical imaging, engineering, astronomy, and geophysics, among others. To solve an inverse problem is to recover an object from noisy, usually indirect observations. Solutions to inverse problems are subject to many potential sources of error introduced by approximate mathematical models, regularization methods, numerical approximations for efficient computations, noisy data, and limitations in the number of observations; thus it is important to include an assessment of the uncertainties as part of the solution. Such assessment is interdisciplinary by nature, as it requires, in addition to knowledge of the particular application, methods from applied mathematics, probability, and statistics. This book bridges applied mathematics and statistics by providing a basic introduction to probability and statistics for uncertainty quantification in the context of inverse problems, as well as an introduction to statistical regularization of inverse problems. The author covers basic statistical inference, introduces the framework of ill-posed inverse problems, and explains statistical questions that arise in their applications. An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems?includes many examples that explain techniques which are useful to address general problems arising in uncertainty quantification, Bayesian and non-Bayesian statistical methods and discussions of their complementary roles, and analysis of a real data set to illustrate the methodology covered throughout the book.

Quantification in Natural Languages

Author : Emmon Bach
Publisher : Springer Science & Business Media
ISBN 13 : 9401728178
Total Pages : 760 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Quantification in Natural Languages by : Emmon Bach

Download or read book Quantification in Natural Languages written by Emmon Bach and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of papers grew out of a research project on "Cross-Linguistic Quantification" originated by Emmon Bach, Angelika Kratzer and Barbara Partee in 1987 at the University of Massachusetts at Amherst, and supported by National Science Foundation Grant BNS 871999. The publication also reflects directly or indirectly several other related activ ities. Bach, Kratzer, and Partee organized a two-evening symposium on cross-linguistic quantification at the 1988 Annual Meeting of the Linguistic Society of America in New Orleans (held without financial support) in order to bring the project to the attention of the linguistic community and solicit ideas and feedback from colleagues who might share our concern for developing a broader typological basis for research in semantics and a better integration of descriptive and theoretical work in the area of quantification in particular. The same trio organized a six-week workshop and open lecture series and related one-day confer ence on the same topic at the 1989 LSA Linguistic Institute at the University of Arizona in Tucson, supported by a supplementary grant, NSF grant BNS-8811250, and Partee offered a seminar on the same topic as part of the Institute course offerings. Eloise Jelinek, who served as a consultant on the principal grant and was a participant in the LSA symposium and the Arizona workshops, joined the group of editors for this volume in 1989.

Uncertainty Quantification and Predictive Computational Science

Author : Ryan G. McClarren
Publisher : Springer
ISBN 13 : 3319995251
Total Pages : 345 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Uncertainty Quantification and Predictive Computational Science by : Ryan G. McClarren

Download or read book Uncertainty Quantification and Predictive Computational Science written by Ryan G. McClarren and published by Springer. This book was released on 2018-11-23 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying Local Sensitivity Analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and early-career graduate students in the engineering and physical sciences and supports independent study by researchers and professionals who must include uncertainty quantification and predictive science in the simulations they develop and/or perform.

Rapid Cycle Real-Time PCR — Methods and Applications

Author : W. Dietmaier
Publisher : Springer Science & Business Media
ISBN 13 : 3642593976
Total Pages : 200 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Rapid Cycle Real-Time PCR — Methods and Applications by : W. Dietmaier

Download or read book Rapid Cycle Real-Time PCR — Methods and Applications written by W. Dietmaier and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid-Cycle Real-Time PCR is a powerful technique for nucleic acid amplification and analysis that often requires less than half an hour to perform. Samples are amplified by rapid-cycle PCR followed by immediate melting curve analysis in the same instrument. Melting curve analysis of PCR products with SYBR Green I often allows product identification without gel electrophoresis. Furthermore, in the presence of fluorescent hybridization probes, melting curves provide "dynamic dot blots" for fine sequence analysis, including single nucleotide polymorphisms (SNPs). The method is often cited as the most versatile, efficient method for nucleic acid analysis in research and diagnostics in the fields of genetics and oncology. Molecular diagnostics has never been easier!

Subatomic quantification

Author : Marcin Wągiel
Publisher : Language Science Press
ISBN 13 : 3961103151
Total Pages : 334 pages
Book Rating : 4.9/5 (611 download)

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Book Synopsis Subatomic quantification by : Marcin Wągiel

Download or read book Subatomic quantification written by Marcin Wągiel and published by Language Science Press. This book was released on with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to explore the relationship between the cognitive notion of parthood and various grammatical devices expressing this concept in natural language. The monograph aims to investigate syntactic constructions and lexical categories, e.g., partitives, whole-adjectives, and multipliers, encoding different kinds of part-whole structures both in Slavic and non-Slavic languages. It is envisioned to inspire radical rethinking of the ontology of models accounting for nominal semantics. Specifically, it provides novel evidence for a mereotopological approach to meaning, i.e., a theory of wholes that captures not only parthood but also topological relations holding between parts. This evidence comes from the phenomenon of subatomic quantification, i.e., quantification over parts of referents of concrete count nouns.

The Quantification of Bodies in Health

Author : Btihaj Ajana
Publisher : Emerald Group Publishing
ISBN 13 : 1800718853
Total Pages : 260 pages
Book Rating : 4.8/5 (7 download)

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Book Synopsis The Quantification of Bodies in Health by : Btihaj Ajana

Download or read book The Quantification of Bodies in Health written by Btihaj Ajana and published by Emerald Group Publishing. This book was released on 2021-12-06 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Quantification of Bodies in Health aims to deepen understanding of the quantification of the body and of the role of self-tracking practices in everyday life. It brings together authors working at the intersection of philosophy, sociology, history, psychology, and digital culture.

Uncertainty Quantification

Author : Ralph C. Smith
Publisher : SIAM
ISBN 13 : 161197321X
Total Pages : 400 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Uncertainty Quantification by : Ralph C. Smith

Download or read book Uncertainty Quantification written by Ralph C. Smith and published by SIAM. This book was released on 2013-12-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines. The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.

Uncertainty Quantification in Variational Inequalities

Author : Joachim Gwinner
Publisher : CRC Press
ISBN 13 : 1351857673
Total Pages : 405 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Uncertainty Quantification in Variational Inequalities by : Joachim Gwinner

Download or read book Uncertainty Quantification in Variational Inequalities written by Joachim Gwinner and published by CRC Press. This book was released on 2021-12-24 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields. Features First book on UQ in variational inequalities emerging from various network, economic, and engineering models Completely self-contained and lucid in style Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia Includes the most recent developments on the subject which so far have only been available in the research literature

The Grammar of French Quantification

Author : Lena Baunaz
Publisher : Springer Science & Business Media
ISBN 13 : 9400706219
Total Pages : 260 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis The Grammar of French Quantification by : Lena Baunaz

Download or read book The Grammar of French Quantification written by Lena Baunaz and published by Springer Science & Business Media. This book was released on 2011-03-02 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first extensive study on French Quantification in the field of Syntax. It provides a typology of four main quantified noun phrases in French (existential, universal, negative and wh-), detailing their syntactic, semantic and prosodic behaviors and showing that they can be reduced to two classes—Split-DP structures or Floating quantification. Relying on syntax and semantics, the book establishes a three-way structural typology of wh in-situ phrases and extends it to existentials. It pays special attention to the prosodic properties associated with their different readings and proposes an analysis of the distribution of subextraction and pied-piping. Similarly based on semantic and syntactic tests, the book reveals N(egative) words to be universal Quantifiers. It proposes a new structure of N-words in terms of constituent negation and includes a detailed analysis of the difference between not an N and not all the N in French.