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Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
This concise textbook provides a unique framework to introduce Quantitative Finance to advanced undergraduate and beginning postgraduate students. Inspired by Newton's three laws of motion, three principles of Quantitative Finance are proposed to help practitioners also to understand the pricing of plain vanilla derivatives and fixed income securities.The book provides a refreshing perspective on Box's thesis that 'all models are wrong, but some are useful.' Being practice- and market-oriented, the author focuses on financial derivatives that matter most to practitioners.The three principles of Quantitative Finance serve as buoys for navigating the treacherous waters of hypotheses, models, and gaps between theory and practice. The author shows that a risk-based parsimonious model for modeling the shape of the yield curve, the arbitrage-free properties of options, the Black-Scholes and binomial pricing models, even the capital asset pricing model and the Modigliani-Miller propositions can be obtained systematically by applying the normative principles of Quantitative Finance.
How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics? With this practical book, data architects and engineers will learn how to establish and integrate secure, repeatable anonymization processes into their data flows and analytics in a sustainable manner. Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing device and IoT data, based on collection models and use cases that address real business needs. These examples come from some of the most demanding data environments, such as healthcare, using approaches that have withstood the test of time. Create anonymization solutions diverse enough to cover a spectrum of use cases Match your solutions to the data you use, the people you share it with, and your analysis goals Build anonymization pipelines around various data collection models to cover different business needs Generate an anonymized version of original data or use an analytics platform to generate anonymized outputs Examine the ethical issues around the use of anonymized data
The volume Religion beyond its Private Role in Modern Society aims at contributing to the debate on the distinction between public and private spheres with regard to the role of religion in modern societies. This issue which is inherent to many conceptions regarding social order, modernity, freedom of conscience, and the changing role and function of religion is discussed not only from a social scientific but also from a historical and philosophical point of view. The articles dwell on several aspects of the role of religion in different societies in modern times, and the overall theme is explored from the perspective of various religious traditions and groups, both institutional and non-institutional. It turns out that the distinction made is difficult to maintain. Contributors include: Bart Labuschagne, Linda Woodhead, Niek Brunsveld, Dick Douwes, Mohammed Ghaly, Heleen Murre-van den Berg, David Novak, Alexandros Sakellariou, Matthew Tennant, Bruno Verbeek, Ernestine G.E. van der Wall, William Arfman, Stef Aupers, Jeroen Boekhoven, Meerten B. ter Borg, and Kees de Groot.
An essay collection exploring the board game’s relationship to the built environment, revealing the unexpected ways that play reflects perceptions of space. Board games harness the creation of entirely new worlds. From the medieval warlord to the modern urban planner, players are permitted to inhabit a staggering variety of roles and are prompted to incorporate preexisting notions of placemaking into their decisions. To what extent do board games represent the social context of their production? How might they reinforce or subvert normative ideas of community and fulfillment? In Playing Place, Chad Randl and D. Medina Lasansky have curated a collection of thirty-seven fascinating essays, s...
A clear new finance textbook that explains essential models and practices, and how the financial world works now Contemporary Financial Markets and Institutions: Tools and Techniques to Manage Risk and Uncertainty is an ideal introduction to finance for professionals and students. It covers the basic finance theory required to understand the contemporary financial world and builds on it to present finance in a detailed yet comprehensible way. It explains markets and institutions, and the central bank and government policies that influence how they operate. The book begins with an overview of basic finance theory, including investments, asset return behavior, derivatives pricing, and credit r...
A new approach to teaching computing and technology ethics using science fiction stories. Should autonomous weapons be legal? Will we be cared for by robots in our old age? Does the efficiency of online banking outweigh the risk of theft? From communication to travel to medical care, computing technologies have transformed our daily lives, for better and for worse. But how do we know when a new development comes at too high a cost? Using science fiction stories as case studies of ethical ambiguity, this engaging textbook offers a comprehensive introduction to ethical theory and its application to contemporary developments in technology and computer science. Computing and Technology Ethics: E...
Robustness in Statistics contains the proceedings of a Workshop on Robustness in Statistics held on April 11-12, 1978, at the Army Research Office in Research Triangle Park, North Carolina. The papers review the state of the art in statistical robustness and cover topics ranging from robust estimation to the robustness of residual displays and robust smoothing. The application of robust regression to trajectory data reduction is also discussed. Comprised of 14 chapters, this book begins with an introduction to robust estimation, paying particular attention to iteration schemes and error structure of estimators. Sensitivity and influence curves as well as their connection with jackknife estim...
An introduction to robust estimation; The robustness of residual displays; Robust smoothing; Robust pitman-like estimators; Robust estimation in the presence of outliers; Study of robustness by simulation: particularly improvement by adjustment and combination; Robust techniques for the user; Application of robust regression to trajectory data reduction; Tests for censoring of extreme values (especially) when population distributions are incompletely defined; Robust estimation for time series autoregressions; Robust techniques in communication; Robustness in the strategy of scientific model building; A density-quantile function perspective on robust.