Download or read book Fair Coin written by E.C. Myers and published by Jabberwocky Literary Agency, Inc.. This book was released on 2016-12-16 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: When you have magic on your side, anything is possible. At least that’s what Ephraim Scott thinks when he first discovers the unusual coin that grants his wishes. With it Ephraim overhauls his troubled home life and also his nonexistent love life. He even tries to help his friends with their problems. But every wish comes with a twist. Each flip of the coin gives Ephraim what he wants, but bad things happen too--ripples of dark consequences he doesn’t intend and can’t predict. The more Ephraim tries to fix the situation, the worse it gets. The people closest to him are changing in terrible ways and Ephraim must figure out how to harness the coin’s power before anyone gets hurt...or worse. Fair Coin is the winner of the 2012 Andre Norton Award and was a finalist for both the 2013 British Fantasy Award and the 2013 Compton Crook Award.

Download or read book Advances in Cryptology CRYPTO 2013 written by Ran Canetti and published by Springer. This book was released on 2013-08-15 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume-set, LNCS 8042 and LNCS 8043, constitutes the refereed proceedings of the 33rd Annual International Cryptology Conference, CRYPTO 2013, held in Santa Barbara, CA, USA, in August 2013. The 61 revised full papers presented in LNCS 8042 and LNCS 8043 were carefully reviewed and selected from numerous submissions. Two abstracts of the invited talks are also included in the proceedings. The papers are organized in topical sections on lattices and FHE; foundations of hardness; cryptanalysis; MPC - new directions; leakage resilience; symmetric encryption and PRFs; key exchange; multi linear maps; ideal ciphers; implementation-oriented protocols; number-theoretic hardness; MPC - foundations; codes and secret sharing; signatures and authentication; quantum security; new primitives; and functional encryption.

Download or read book The Coin Toss written by Stefan Hollos and published by Abrazol Publishing. This book was released on 2012-11-20 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The coin toss is really just a metaphor for a random event that has only two possible outcomes. The actual tossing of a real coin is just one way to realize such an event. There are many examples of questions that are equivalent to a coin toss. For example: Will the stock market close up or down tomorrow? Will a die roll come up with an even or odd number? Will we make contact with extraterrestrials within the next ten years? Will a car drive by in the next minute? Will tomorrow be sunny or cloudy? Will my medical test result be negative or positive? Will I enjoy this movie? Will the next joke be funny? Will the Earth's average temperature go up next year?Because a coin toss is equivalent to such a wide variety of questions, the results in this book are widely applicable.Because the coin toss is the simplest random event you can imagine, many questions about coin tossing can be asked and answered in great depth. The simplicity of the coin toss also opens the road to more advanced probability theories dealing with events with an infinite number of possible outcomes.This book is very mathematical. Some knowledge of calculus, discrete math, and generating functions is helpful to get the most out of it. A review of discrete math is provided in the index,

Download or read book Epistemology written by Ernest Sosa and published by John Wiley & Sons. This book was released on 2008-02-11 with total page 950 pages. Available in PDF, EPUB and Kindle. Book excerpt: New and thoroughly updated, Epistemology: An Anthology continues to represent the most comprehensive and authoritative collection of canonical readings in the theory of knowledge. Concentrates on the central topics of the field, such as skepticism and the Pyrrhonian problematic, the definition of knowledge, and the structure of epistemic justification Offers coverage of more specific topics, such as foundationalism vs coherentism, and virtue epistemology Presents wholly new sections on 'Testimony, Memory, and Perception' and 'The Value of Knowledge' Features modified sections on 'The Structure of Knowledge and Justification', 'The Non-Epistemic in Epistemology', and 'The Nature of the Epistemic' Includes many of the most important contributions made in recent decades by several outstanding authors

Download or read book Statistics with the TI 83 Plus TI 83 Plus SE written by Brendan Kelly and published by Brendan Kelly Publishing Inc.. This book was released on 2002 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Art of Causal Conjecture written by Glenn Shafer and published by MIT Press. This book was released on 1996 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: In The Art of Causal Conjecture, Glenn Shafer lays out a new mathematical and philosophical foundation for probability and uses it to explain concepts of causality used in statistics, artificial intelligence, and philosophy. The various disciplines that use causal reasoning differ in the relative weight they put on security and precision of knowledge as opposed to timeliness of action. The natural and social sciences seek high levels of certainty in the identification of causes and high levels of precision in the measurement of their effects. The practical sciences -- medicine, business, engineering, and artificial intelligence -- must act on causal conjectures based on more limited knowledge. Shafer's understanding of causality contributes to both of these uses of causal reasoning. His language for causal explanation can guide statistical investigation in the natural and social sciences, and it can also be used to formulate assumptions of causal uniformity needed for decision making in the practical sciences. Causal ideas permeate the use of probability and statistics in all branches of industry, commerce, government, and science. The Art of Causal Conjecture shows that causal ideas can be equally important in theory. It does not challenge the maxim that causation cannot be proven from statistics alone, but by bringing causal ideas into the foundations of probability, it allows causal conjectures to be more clearly quantified, debated, and confronted by statistical evidence.

Download or read book Belief Evidence and Uncertainty written by Prasanta S. Bandyopadhyay and published by Springer. This book was released on 2016-03-04 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work breaks new ground by carefully distinguishing the concepts of belief, confirmation, and evidence and then integrating them into a better understanding of personal and scientific epistemologies. It outlines a probabilistic framework in which subjective features of personal knowledge and objective features of public knowledge have their true place. It also discusses the bearings of some statistical theorems on both formal and traditional epistemologies while showing how some of the existing paradoxes in both can be resolved with the help of this framework.This book has two central aims: First, to make precise a distinction between the concepts of confirmation and evidence and to argue that failure to recognize this distinction is the source of certain otherwise intractable epistemological problems. The second goal is to demonstrate to philosophers the fundamental importance of statistical and probabilistic methods, at stake in the uncertain conditions in which for the most part we lead our lives, not simply to inferential practice in science, where they are now standard, but to epistemic inference in other contexts as well. Although the argument is rigorous, it is also accessible. No technical knowledge beyond the rudiments of probability theory, arithmetic, and algebra is presupposed, otherwise unfamiliar terms are always defined and a number of concrete examples are given. At the same time, fresh analyses are offered with a discussion of statistical and epistemic reasoning by philosophers. This book will also be of interest to scientists and statisticians looking for a larger view of their own inferential techniques.The book concludes with a technical appendix which introduces an evidential approach to multi-model inference as an alternative to Bayesian model averaging.

Download or read book Looking for Math in All the Wrong Places written by Shai Simonson and published by American Mathematical Society. This book was released on 2022-08-30 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The soul of mathematics is the practice of skeptical inquiry: asking how and why things work, experimenting, exploring, and discovering. Estimation, analysis, computation, conjecture, and proof are the mathematical path to uncovering truth and we can use them in nearly every human pursuit. In this thoroughly charming and beguiling book, Shai Simonson applies mathematical tools in a variety of contexts that arise in everyday life to prove his claim that math is, literally, everywhere. Simonson applies his mathematical cast of mind to hiking, birthday parties, carnival games, lock picking, and kite flying. We see unexpected depths and connections when we look in the “wrong” places in the right way. No advanced mathematical knowledge is required to travel with Simonson and share in his investigations. All a reader needs is an open and curious mind, an eagerness to ask questions, and a willingness to think deeply and carefully about seemingly mundane things. There is wonder and joy in quotidian life with Simonson as your guide.

Download or read book Constitutional Calculus written by Jeff Suzuki and published by JHU Press. This book was released on 2015-03-01 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: How math can make a more stable democracy: “A breath of fresh air . . . a reaffirmation that mathematics should be used more often to make general public policy.” —MAA Reviews How should we count the population of the United States? What would happen if we replaced the electoral college with a direct popular vote? What are the consequences of allowing unlimited partisan gerrymandering of congressional districts? Can six-person juries yield verdicts consistent with the needs of justice? Is it racist to stop and frisk minorities at a higher rate than non-minorities? These and other questions have long been the subject of legal and political debate and are routinely decided by lawyers, politicians, judges, and voters, mostly through an appeal to common sense and tradition. But mathematician Jeff Suzuki asserts that common sense is not so common, and traditions developed long ago in what was a mostly rural, mostly agricultural, mostly isolated nation of three million might not apply to a mostly urban, mostly industrial, mostly global nation of three hundred million. In Constitutional Calculus, Suzuki guides us through the U.S. Constitution and American history to show how mathematics reveals our flaws, finds the answers we need, and moves us closer to our ideals. From the first presidential veto to the debate over mandatory drug testing, the NSA’s surveillance program, and the fate of death row inmates, Suzuki draws us into real-world debates and then reveals how math offers a superior compass for decision-making. Relying on iconic cases, including the convictions of the Scottsboro boys, League of United Latin American Citizens v. Perry, and Floyd v. City of New York, Suzuki shows that more math can lead to better justice, greater fairness, and a more stable democracy.

Download or read book Statistical Methods for Geography written by Peter A Rogerson and published by SAGE. This book was released on 2014-11-11 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it’s a statistics 101 that includes definitions, examples, and exercise throughout. Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module: Descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. Exercises in the text are complemented with online exercise and prompts that test the understanding of concepts and techniques, additional online exercises review understanding of the entire chapter, relating concepts and techniques. Completely revised and updated for accessibility, including new material (on measures of distance, statistical power, sample size selection, and basic probability) with related exercises and downloadable datasets. It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.

Download or read book Theory of Cryptography written by Amos Beimel and published by Springer. This book was released on 2018-11-04 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set of LNCS 11239 and LNCS 11240 constitutes the revised proceedings of the 16th International Conference on Theory of Cryptography, TCC 2018, held in Panaji, India, in November 2018. The total of 50 revised full papers presented in the proceedings were carefully reviewed and selected from 168 submissions. The Theory of Cryptography Conference deals with the paradigms, approaches, and techniques used to conceptualize natural cryptographic problems and provide algorithmic solutions to them and much more.

Download or read book Illuminating Statistical Analysis Using Scenarios and Simulations written by Jeffrey E. Kottemann and published by John Wiley & Sons. This book was released on 2017-03-06 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ranging concepts and methods of statistics and inference Illuminating Statistical Analysis Using Scenarios and Simulations presents the basic concepts of statistics and statistical inference using the dual mechanisms of scenarios and simulations. This approach helps readers develop key intuitions and deep understandings of statistical analysis. Scenario-specific sampling simulations depict the results that would be obtained by a very large number of individuals investigating the same scenario, each with their own evidence, while graphical depictions of the simulation results present clear and direct pathways to intuitive methods for statistical inference. These intuitive methods can then be easily linked to traditional formulaic methods, and the author does not simply explain the linkages, but rather provides demonstrations throughout for a broad range of statistical phenomena. In addition, induction and deduction are repeatedly interwoven, which fosters a natural "need to know basis" for ordering the topic coverage. Examining computer simulation results is central to the discussion and provides an illustrative way to (re)discover the properties of sample statistics, the role of chance, and to (re)invent corresponding principles of statistical inference. In addition, the simulation results foreshadow the various mathematical formulas that underlie statistical analysis. In addition, this book: • Features both an intuitive and analytical perspective and includes a broad introduction to the use of Monte Carlo simulation and formulaic methods for statistical analysis • Presents straight-forward coverage of the essentials of basic statistics and ensures proper understanding of key concepts such as sampling distributions, the effects of sample size and variance on uncertainty, analysis of proportion, mean and rank differences, covariance, correlation, and regression • Introduces advanced topics such as Bayesian statistics, data mining, model cross-validation, robust regression, and resampling • Contains numerous example problems in each chapter with detailed solutions as well as an appendix that serves as a manual for constructing simulations quickly and easily using Microsoft® Office Excel® Illuminating Statistical Analysis Using Scenarios and Simulations is an ideal textbook for courses, seminars, and workshops in statistics and statistical inference and is appropriate for self-study as well. The book also serves as a thought-provoking treatise for researchers, scientists, managers, technicians, and others with a keen interest in statistical analysis. Jeffrey E. Kottemann, Ph.D., is Professor in the Perdue School at Salisbury University. Dr. Kottemann has published articles in a wide variety of academic research journals in the fields of business administration, computer science, decision sciences, economics, engineering, information systems, psychology, and public administration. He received his Ph.D. in Systems and Quantitative Methods from the University of Arizona.

Download or read book Foundations of Data Science with Python written by John M. Shea and published by CRC Press. This book was released on 2024-02-22 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality. This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science. Key Features: Applies a modern, computational approach to working with data Uses real data sets to conduct statistical tests that address a diverse set of contemporary issues Teaches the fundamentals of some of the most important tools in the Python data-science stack Provides a basic, but rigorous, introduction to Probability and its application to Statistics Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material

Download or read book Psychophysics written by Frederick A.A. Kingdom and published by Academic Press. This book was released on 2016-01-04 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychophysics: A Practical Introduction, Second Edition, is the primary scientific tool for understanding how the physical world of colors, sounds, odors, movements, and shapes translates into the sensory world of sight, hearing, touch, taste, and smell; in other words, how matter translates into mind. This timely revision provides a unique introduction to the techniques for researching and understanding how the brain translates the external physical world to the internal world of sensation. The revision expands and refines coverage of the basic tools of psychophysics research and better integrates the theory with the supporting software. The new edition continues to be the only book to combine, in a single volume, the principles underlying the science of psychophysical measurement and the practical tools necessary to analyze data from psychophysical experiments. The book, written in a tutorial style, will appeal to new researchers as well as to seasoned veterans. This introduction to psychophysics research methods will be of interest to students, scholars and researchers within sensory neuroscience, vision research, behavioral neuroscience, and the cognitive sciences. - Presents a large variety of analytical methods explained for the non-expert - Provides a novel classification scheme for psychophysics experiments - Disseminates the pros and cons of different psychophysical procedures - Contains practical tips for designing psychophysical experiments

Download or read book Statistical Thinking for Non Statisticians in Drug Regulation written by Richard Kay and published by John Wiley & Sons. This book was released on 2014-10-23 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Thinking for Non-Statisticians in Drug Regulation, Second Edition, is a need-to-know guide to understanding statistical methodology, statistical data and results within drug development and clinical trials. It provides non-statisticians working in the pharmaceutical and medical device industries with an accessible introduction to the knowledge they need when working with statistical information and communicating with statisticians. It covers the statistical aspects of design, conduct, analysis and presentation of data from clinical trials in drug regulation and improves the ability to read, understand and critically appraise statistical methodology in papers and reports. As such, it is directly concerned with the day-to-day practice and the regulatory requirements of drug development and clinical trials. Fully conversant with current regulatory requirements, this second edition includes five new chapters covering Bayesian statistics, adaptive designs, observational studies, methods for safety analysis and monitoring and statistics for diagnosis. Authored by a respected lecturer and consultant to the pharmaceutical industry, Statistical Thinking for Non-Statisticians in Drug Regulation is an ideal guide for physicians, clinical research scientists, managers and associates, data managers, medical writers, regulatory personnel and for all non-statisticians working and learning within the pharmaceutical industry.

Download or read book Advances in Cryptology CRYPTO 2020 written by Daniele Micciancio and published by Springer Nature. This book was released on 2020-08-12 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conference on Cryptologic Research, CRYPTO 2020, which was held during August 17–21, 2020. Crypto has traditionally been held at UCSB every year, but due to the COVID-19 pandemic it will be an online event in 2020. The 85 papers presented in the proceedings were carefully reviewed and selected from a total of 371 submissions. They were organized in topical sections as follows: Part I: Security Models; Symmetric and Real World Cryptography; Hardware Security and Leakage Resilience; Outsourced encryption; Constructions. Part II: Public Key Cryptanalysis; Lattice Algorithms and Cryptanalysis; Lattice-based and Post Quantum Cryptography; Multi-Party Computation. Part III: Multi-Party Computation; Secret Sharing; Cryptanalysis; Delay functions; Zero Knowledge.

Download or read book Theories of Information Communication and Knowledge written by Fidelia Ibekwe-SanJuan and published by Springer Science & Business Media. This book was released on 2013-08-30 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses some of the key questions that scientists have been asking themselves for centuries: what is knowledge? What is information? How do we know that we know something? How do we construct meaning from the perceptions of things? Although no consensus exists on a common definition of the concepts of information and communication, few can reject the hypothesis that information – whether perceived as « object » or as « process » - is a pre-condition for knowledge. Epistemology is the study of how we know things (anglophone meaning) or the study of how scientific knowledge is arrived at and validated (francophone conception). To adopt an epistemological stance is to commit oneself to render an account of what constitutes knowledge or in procedural terms, to render an account of when one can claim to know something. An epistemological theory imposes constraints on the interpretation of human cognitive interaction with the world. It goes without saying that different epistemological theories will have more or less restrictive criteria to distinguish what constitutes knowledge from what is not. If information is a pre-condition for knowledge acquisition, giving an account of how knowledge is acquired should impact our comprehension of information and communication as concepts. While a lot has been written on the definition of these concepts, less research has attempted to establish explicit links between differing theoretical conceptions of these concepts and the underlying epistemological stances. This is what this volume attempts to do. It offers a multidisciplinary exploration of information and communication as perceived in different disciplines and how those perceptions affect theories of knowledge.