On A Certain Practical Uncertainty

Author: Federico Federici
Editor: Lulu.com
ISBN: 9780244410667
File Size: 42,61 MB
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To most human beings on Earth, the difference between Newton's theory and Einstein's is so infinitesimal that can only be expressed in scientific terms. In this long poem, Einstein's Relativity and other topics of modern Physics are addressed from an entirely new poetical perspective, accompanied by visual poetry and asemic tables.

Measurement Uncertainty In Forensic Science

Author: Suzanne Bell
Editor: CRC Press
ISBN: 131540088X
File Size: 78,46 MB
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In the courtroom, critical and life-changing decisions are made based on quantitative forensic science data. There is often a range in which a measured value is expected to fall and, in this, an inherent uncertainty associated with such measurement. Uncertainty in this context is not error. In fact, estimations of uncertainty can add to the utility and reliability of quantitative results, be it the length of a firearm barrel, the weight of a drug sample, or the concentration of ethanol in blood. Measurement Uncertainty in Forensic Science: A Practical Guide describes and defines the concepts related to such uncertainty in the forensic context. The book provides the necessary conceptual background and framework—a baseline—for developing and deploying reasonable and defensible uncertainty estimations across forensic disciplines. Information is presented conceptually, using easily understood examples, to provide a readable, handy reference for scientists in the laboratory, as well as investigators and legal professionals who require a basic understanding of the science underpinning measurement results.

Uncertainty In Post Reformation Catholicism

Author: Stefania Tutino
Editor: Oxford University Press
ISBN: 0190694092
File Size: 21,44 MB
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Uncertainty in Post-Reformation Catholicism provides a historical account of early modern probabilism and its theological, intellectual, and cultural implications. First developed in the second half of the sixteenth century, probabilism represented a significant and controversial novelty in Catholic moral theology. By the second half of the seventeenth century, probabilism became and has since been associated with moral, intellectual, and cultural decadence. Stefania Tutino challenges this understanding and claims that probabilism played a central role in addressing the challenges that geographical and cultural expansions posed to traditional Catholic theology. Tutino argues that early modern theologians used probabilism to integrate major changes within the post-Reformation Catholic theological and intellectual system. Probabilist theologians realized that their time was characterized by many changes that traditional theology was not equipped to deal with, which consequently provoked an exponential growth of uncertainties, doubts, and dilemmas of conscience. Probabilism represented the result of their efforts to appreciate, come to terms with, and manage that uncertainty. Uncertainty in Post-Reformation Catholicism reinterprets probabilism as a way of dealing with moral and epistemological doubts in quickly changing times, a way that still may be useful today. Uncertainty in Post-Reformation Catholicism argues that probabilism played a central role in addressing the challenges that a geographically and intellectually expanding world posed to traditional Catholic theology. Early modern probabilist theologians realized that their time was characterized by many changes and novelties that traditional theology was not equipped to deal with, and that consequently provoked an exponential growth of uncertainties, doubts, and dilemmas of conscience. These theologians used probabilism as a means to integrate changes and novelties within the post-Reformation Catholic theological and intellectual system. Seen in this light, probabilism represented the result of their attempts to appreciate, come to terms with, and manage uncertainty. The problem of uncertainty was not only crucial then, but remains central even today. Despite the unprecedented amount of information available to us, we are becoming less able to formulate arguments based on facts, and more dependent on a cacophony of opinions that often simply reproduce our own implicit or explicit biases, prejudices, and preconceived preferences.

Measurements And Their Uncertainties

Author: Ifan Hughes
Editor: OUP Oxford
ISBN: 0191576565
File Size: 29,79 MB
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This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference. The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.

Practical Implementation Of Nutrient Guidelines

Author: Mark C. M. van Loosdrecht
Editor: International Water Assn
ISBN:
File Size: 68,93 MB
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In 1991 the EU announced a directive regarding urban wastewater treatment. Its objective was to have wastewater collection and treatment for all settlements and nutrient removal for all sensitive areas. These measures needed to be implemented in a short time period, before 2000. The directive resulted in a boost in the applied research towards wastewater treatment and a large investment in new facilities. The 2000 Aquatech conference therefore aimed at evaluating how this directive (or similar directives worldwide) was implemented. The 25 papers selected for these proceedings give an overview of the policies related to nutrient removal in a number of regions. They show the differences in approach and in the results of measures taken. New processes have been developed and existing treatment plants have been upgraded for nutrient removal. Several of these new processes are described together with a number of examples of upgrading of existing facilities. These proceedings provide wastewater engineers, policy-makers and managers with a state-of-the-art view of the approaches that can solve eutrophication problems and minimise the impacts on society and the environment.

The Uncertainty Analysis Of Model Results

Author: Eduard Hofer
Editor: Springer
ISBN: 3319762974
File Size: 56,89 MB
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This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.

Ecai 92

Author: Bernd Neumann
Editor:
ISBN:
File Size: 18,33 MB
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Traceability Validation And Measurement Uncertainty In Chemistry Vol 3

Author: Nineta Hrastelj
Editor: Springer
ISBN: 3030203476
File Size: 63,43 MB
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This book presents worked examples of five analytical procedures. These practical examples address traceability, validation and measurement uncertainty aspects in a systematic and consistent way, and cover applications in the analysis of water, food, as well as ores and minerals. This concept is based on the experiences of the TrainMiCc program, in which more than 9000 laboratory professionals all over Europe have participated.

Lex Et Scientia

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Editor:
ISBN:
File Size: 11,94 MB
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Moral Uncertainty

Author: William MacAskill
Editor: Oxford University Press
ISBN: 0191033634
File Size: 69,55 MB
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This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Very often we're uncertain about what we ought, morally, to do. We don't know how to weigh the interests of animals against humans, how strong our duties are to improve the lives of distant strangers, or how to think about the ethics of bringing new people into existence. But we still need to act. So how should we make decisions in the face of such uncertainty? Though economists and philosophers have extensively studied the issue of decision-making in the face of uncertainty about matters of fact, the question of decision-making given fundamental moral uncertainty has been neglected. Philosophers William MacAskill, Krister Bykvist, and Toby Ord try to fill this gap. Moral Uncertainty argues that there are distinctive norms that govern how one ought to make decisions. It defends an information-sensitive account of how to make such decisions by developing an analogy between moral uncertainty and social choice, arguing that the correct way to act in the face of moral uncertainty depends on whether the moral theories in which one has credence are merely ordinal, cardinal, or both cardinal and intertheoretically comparable. It tackles the problem of how to make intertheoretical comparisons, discussing potential solutions and the implications of their view for metaethics and practical ethics.

Measurement Errors And Uncertainties

Author: Semyon G. Rabinovich
Editor: Springer Science & Business Media
ISBN: 0387291431
File Size: 44,33 MB
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A practical reference on theory and methods of estimating measurement errors and uncertainty for both scientists and engineers in industry and experimental research. Building on the fundamentals of measurement theory, this book offers a wealth of practial recommendations and procedures. It differs from the majority of books in that it balances coverage of probabilistic methods with detailed information on the characterization, calibration, standardization and limitations of measuring instruments, with specific examples from both electrical and mechanical systems. In addition to a general updating to reflect current research, new material in this edition includes increased coverage of indirect measurements, with a new, simpler, more efficient method for this class of measurements.

Selected Examples Of Practical Approaches For The Assessment Of Model Reliability Parameter Uncertainty Analysis

Author:
Editor:
ISBN:
File Size: 47,59 MB
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The uncertainty analysis of model predictions has to discriminate between two fundamentally different types of uncertainty. The presence of stochastic variability (Type 1 uncertainty) necessitates the use of a probabilistic model instead of the much simpler deterministic one. Lack of knowledge (Type 2 uncertainty), however, applies to deterministic as well as to probabilistic model predictions and often dominates over uncertainties of Type 1. The term ''probability'' is interpreted differently in the probabilistic analysis of either type of uncertainty. After these discriminations have been explained the discussion centers on the propagation of parameter uncertainties through the model, the derivation of quantitative uncertainty statements for model predictions and the presentation and interpretation of the results of a Type 2 uncertainty analysis. Various alternative approaches are compared for a very simple deterministic model.

Uncertainty Analysis For Engineers And Scientists

Author: Faith A. Morrison
Editor: Cambridge University Press
ISBN: 1108478352
File Size: 43,43 MB
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Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.

Uncertainty In Knowledge Based Systems

Author: Bernadette Bouchon
Editor: Springer Science & Business Media
ISBN: 9783540185796
File Size: 53,65 MB
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Communicating Uncertainty

Author: Sharon M. Friedman
Editor: Routledge
ISBN: 0805827277
File Size: 58,63 MB
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This work explores scientific uncertainty and media coverage of science in such major public issues as AIDS, biotechnology, dioxin, global warming, and nature vs nurture.

Uncertainty Analysis In Econometrics With Applications

Author: Van-Nam Huynh
Editor: Springer Science & Business Media
ISBN: 3642354432
File Size: 56,47 MB
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Unlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models. In this context, modeling and optimization surface as basic ingredients for fruitful applications. This volume concentrates on the current methodology of copulas and maximum entropy optimization. This volume contains main research presentations at the Sixth International Conference of the Thailand Econometrics Society held at the Faculty of Economics, Chiang Mai University, Thailand, during January 10-11, 2013. It consists of keynote addresses, theoretical and applied contributions. These contributions to Econometrics are somewhat centered around the theme of Copulas and Maximum Entropy Econometrics. The method of copulas is applied to a variety of economic problems where multivariate model building and correlation analysis are needed. As for the art of choosing copulas in practical problems, the principle of maximum entropy surfaces as a potential way to do so. The state-of-the-art of Maximum Entropy Econometrics is presented in the first keynote address, while the second keynote address focusses on testing stationarity in economic time series data.

Facing Epistemic Uncertainty

Author: Roel van Goor
Editor: Amsterdam University Press
ISBN: 9056297201
File Size: 50,55 MB
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Increasing doubts over the narratives that traditionally served to legitimize the tasks and possibilities of societal institutions - such as science - have also called into question the significance of philosophy to educational thinking. Related debates largely concern epistemological issues, i.e. issues regarding the nature and status of (scientific) knowledge. This dissertation takes as its starting point the nowadays hardly controversial idea that all knowledge is to a certain extent 'uncertain'. The questions addressed are how this 'epistemic uncertainty'may be intelligibly understood, and what consequences can be drawn from such an understanding for the tasks and possibilities of philosophy of education as an academic discipline.

Epistemic Uncertainty And Legal Theory

Author: Brian Burge-Hendrix
Editor: Routledge
ISBN: 1351939378
File Size: 52,37 MB
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Crossing the usual boundaries of abstract legal theory, this book considers actual charter systems - legal systems with explicitly posited moral-political rights, such as those of Canada and the United States - as well as cases in constitutional adjudication. It shows the worth of careful reflection on methodological and meta-theoretical issues for a comprehensive account of a present-day legal system which is fast becoming the norm. The author explicitly connects the ongoing Methodology Debate within legal philosophy to constitutional adjudication and Canadian law. By drawing out the implications of the Methodology Debate and the challenge of giving a proper account of constitutional adjudication in a general theory of law, the study examines how a descriptive, morally and politically neutral legal theory can deal with epistemic uncertainty - uncertainty about the actual status of moral-political legal provisions and their jurisprudential function - in a thoroughgoing manner. It also demonstrates the merits of a minimalist version of Legal Positivism with regard to the practical importance of charters in charter systems and societies.

A Certain Uncertainty

Author: Mark P. Silverman
Editor: Cambridge University Press
ISBN: 1139992414
File Size: 25,74 MB
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Based around a series of real-life scenarios, this engaging introduction to statistical reasoning will teach you how to apply powerful statistical, qualitative and probabilistic tools in a technical context. From analysis of electricity bills, baseball statistics, and stock market fluctuations, through to profound questions about physics of fermions and bosons, decaying nuclei, and climate change, each chapter introduces relevant physical, statistical and mathematical principles step-by-step in an engaging narrative style, helping to develop practical proficiency in the use of probability and statistical reasoning. With numerous illustrations making it easy to focus on the most important information, this insightful book is perfect for students and researchers of any discipline interested in the interwoven tapestry of probability, statistics, and physics.