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Chance In Chains
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Book Synopsis The Chain of Chance by : Stanisław Lem
Download or read book The Chain of Chance written by Stanisław Lem and published by Northwestern University Press. This book was released on 2000 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: "On a trail leading from Naples to Rome to Paris, the ex-astronaut barely escapes numerous threats on his life. Having set himself up as a potential victim, he realizes that he may now be the target of a deadly conspiracy - and that the conspiracy is not the work of a criminal mind but a manifestation of the laws of nature. The population has numerically exceeded its critical mass; certain patterns have begun to emerge from the chaotic workings of society.
Book Synopsis Democracy in Chains by : Nancy MacLean
Download or read book Democracy in Chains written by Nancy MacLean and published by Penguin. This book was released on 2018-06-05 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the Lillian Smith Book Award Winner of the Los Angeles Times Book Prize Finalist for the National Book Award The Nation's "Most Valuable Book" “[A] vibrant intellectual history of the radical right.”—The Atlantic “This sixty-year campaign to make libertarianism mainstream and eventually take the government itself is at the heart of Democracy in Chains. . . . If you're worried about what all this means for America's future, you should be.”—NPR An explosive exposé of the right’s relentless campaign to eliminate unions, suppress voting, privatize public education, stop action on climate change, and alter the Constitution. Behind today’s headlines of billionaires taking over our government is a secretive political establishment with long, deep, and troubling roots. The capitalist radical right has been working not simply to change who rules, but to fundamentally alter the rules of democratic governance. But billionaires did not launch this movement; a white intellectual in the embattled Jim Crow South did. Democracy in Chains names its true architect—the Nobel Prize-winning political economist James McGill Buchanan—and dissects the operation he and his colleagues designed over six decades to alter every branch of government to disempower the majority. In a brilliant and engrossing narrative, Nancy MacLean shows how Buchanan forged his ideas about government in a last gasp attempt to preserve the white elite’s power in the wake of Brown v. Board of Education. In response to the widening of American democracy, he developed a brilliant, if diabolical, plan to undermine the ability of the majority to use its numbers to level the playing field between the rich and powerful and the rest of us. Corporate donors and their right-wing foundations were only too eager to support Buchanan’s work in teaching others how to divide America into “makers” and “takers.” And when a multibillionaire on a messianic mission to rewrite the social contract of the modern world, Charles Koch, discovered Buchanan, he created a vast, relentless, and multi-armed machine to carry out Buchanan’s strategy. Without Buchanan's ideas and Koch's money, the libertarian right would not have succeeded in its stealth takeover of the Republican Party as a delivery mechanism. Now, with Mike Pence as Vice President, the cause has a longtime loyalist in the White House, not to mention a phalanx of Republicans in the House, the Senate, a majority of state governments, and the courts, all carrying out the plan. That plan includes harsher laws to undermine unions, privatizing everything from schools to health care and Social Security, and keeping as many of us as possible from voting. Based on ten years of unique research, Democracy in Chains tells a chilling story of right-wing academics and big money run amok. This revelatory work of scholarship is also a call to arms to protect the achievements of twentieth-century American self-government.
Book Synopsis Probability, Markov Chains, Queues, and Simulation by : William J. Stewart
Download or read book Probability, Markov Chains, Queues, and Simulation written by William J. Stewart and published by Princeton University Press. This book was released on 2009-07-06 with total page 777 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics. The textbook looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers. Discrete and continuous-time Markov chains are analyzed from a theoretical and computational point of view. Topics include the Chapman-Kolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions. The M/M/1 queue and its extensions to more general birth-death processes are analyzed in detail, as are queues with phase-type arrival and service processes. The M/G/1 and G/M/1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated. Open and closed queueing networks are analyzed. The final part of the book addresses the mathematical basis of simulation. Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available (to professors only). Numerous examples illuminate the mathematical theories Carefully detailed explanations of mathematical derivations guarantee a valuable pedagogical approach Each chapter concludes with an extensive set of exercises
Book Synopsis A Modern Introduction to Probability and Statistics by : F.M. Dekking
Download or read book A Modern Introduction to Probability and Statistics written by F.M. Dekking and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
Download or read book Solaris written by Stanisław Lem and published by . This book was released on 1981 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Chance And Choice: Memorabilia by : Kai Lai Chung
Download or read book Chance And Choice: Memorabilia written by Kai Lai Chung and published by World Scientific. This book was released on 2004-10-29 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins with a historical essay entitled “Will the Sun Rise Again?” and ends with a general address entitled “Mathematics and Applications”. The articles cover an interesting range of topics: combinatoric probabilities, classical limit theorems, Markov chains and processes, potential theory, Brownian motion, Schrödinger-Feynman problems, etc. They include many addresses presented at international conferences and special seminars, as well as memorials to and reminiscences of prominent contemporary mathematicians and reviews of their works. Rare old photos of many of them enliven the book.
Book Synopsis Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Random Processes and Their Applications by : Yu. M. Suhov
Download or read book Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Random Processes and Their Applications written by Yu. M. Suhov and published by Cambridge University Press. This book was released on 2008-04-24 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject is critical in many modern applications such as mathematical finance, quantitative management, insurance and actuarial studies.
Book Synopsis Probability on Trees and Networks by : Russell Lyons
Download or read book Probability on Trees and Networks written by Russell Lyons and published by Cambridge University Press. This book was released on 2017-01-20 with total page 1023 pages. Available in PDF, EPUB and Kindle. Book excerpt: Starting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This book, twenty years in the making, ties together research in the field, encompassing work on percolation, isoperimetric inequalities, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete proofs and more than 850 exercises. Many recent developments, in which the authors have played a leading role, are discussed, including percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding in Hilbert space. This state-of-the-art account of probability on networks will be indispensable for graduate students and researchers alike.
Download or read book Probability written by Robert P. Dobrow and published by John Wiley & Sons. This book was released on 2013-10-16 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability. With real-life examples and thoughtful exercises from fields as diverse as biology, computer science, cryptology, ecology, public health, and sports, the book is accessible for a variety of readers. The book’s emphasis on simulation through the use of the popular R software language clarifies and illustrates key computational and theoretical results. Probability: With Applications and R helps readers develop problem-solving skills and delivers an appropriate mix of theory and application. The book includes: Chapters covering first principles, conditional probability, independent trials, random variables, discrete distributions, continuous probability, continuous distributions, conditional distribution, and limits An early introduction to random variables and Monte Carlo simulation and an emphasis on conditional probability, conditioning, and developing probabilistic intuition An R tutorial with example script files Many classic and historical problems of probability as well as nontraditional material, such as Benford’s law, power-law distributions, and Bayesian statistics A topics section with suitable material for projects and explorations, such as random walk on graphs, Markov chains, and Markov chain Monte Carlo Chapter-by-chapter summaries and hundreds of practical exercises Probability: With Applications and R is an ideal text for a beginning course in probability at the undergraduate level.
Download or read book NBS Special Publication written by and published by . This book was released on 1970 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Probability by : David F. Anderson
Download or read book Introduction to Probability written by David F. Anderson and published by Cambridge University Press. This book was released on 2017-11-02 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Book Synopsis Probability and Simulation by : Giray Ökten
Download or read book Probability and Simulation written by Giray Ökten and published by Springer Nature. This book was released on 2020-10-15 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability. Its modular structure complements a traditional lecture format, introducing new topics chapter by chapter with accompanying projects for group collaboration. The text addresses probability axioms leading to Bayes’ theorem, discrete and continuous random variables, Markov chains, and Brownian motion, as well as applications including randomized algorithms, randomized surveys, Benford’s law, and Monte Carlo methods. Adopting a unique application-driven approach to better study probability in action, the book emphasizes data, simulation, and games to strengthen reader insight and intuition while proving theorems. Additionally, the text incorporates codes and exercises in the Julia programming language to further promote a hands-on focus in modelling. Students should have prior knowledge of single variable calculus. Giray Ökten received his PhD from Claremont Graduate University. He has held academic positions at University of Alaska Fairbanks, Ball State University, and Florida State University. He received a Fulbright U.S. Scholar award in 2015. He is the author of an open access textbook in numerical analysis, First Semester in Numerical Analysis with Julia, published by Florida State University Libraries, and a co-author of a children’s math book, The Mathematical Investigations of Dr. O and Arya, published by Tumblehome. His research interests include Monte Carlo methods and computational finance.
Book Synopsis Tomorrow's Troubles by : Paul Scherz
Download or read book Tomorrow's Troubles written by Paul Scherz and published by Georgetown University Press. This book was released on 2022-09-01 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first examination of predictive technology from the perspective of Catholic theology Probabilistic predictions of future risk govern much of society. In business and politics alike, institutional structures manage risk by controlling the behavior of consumers and citizens. New technologies comb through past data to predict and shape future action. Choosing between possible future paths can cause anxiety as every decision becomes a calculation to achieve the most optimal outcome. Tomorrow’s Troubles is the first book to use virtue ethics to analyze these pressing issues. Paul Scherz uses a theological analysis of risk and practical reason to show how risk-based decision theory reorients our relationships to the future through knowledge of possible dangers and foregone opportunities—and fosters a deceptive hope for total security. Scherz presents this view of temporality as problematic because it encourages a desire for stability through one’s own efforts instead of reliance on God. He also argues that the largest problem with predictive models is that they do not address individual reason and free will. Instead of dwelling on a future, we cannot control, we can use our past experiences and the Christian tradition to focus on discerning God’s will in the present. Tomorrow’s Troubles offers a thoughtful new framework that will help Christians benefit from the positive aspects of predictive technologies while recognizing God’s role in our lives and our futures.
Download or read book Probability written by Amy S. Wagaman and published by John Wiley & Sons. This book was released on 2021-06-11 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the latest edition of a practical introduction to the theory of probability, complete with R code samples In the newly revised Second Edition of Probability: With Applications and R, distinguished researchers Drs. Robert Dobrow and Amy Wagaman deliver a thorough introduction to the foundations of probability theory. The book includes a host of chapter exercises, examples in R with included code, and well-explained solutions. With new and improved discussions on reproducibility for random numbers and how to set seeds in R, and organizational changes, the new edition will be of use to anyone taking their first probability course within a mathematics, statistics, engineering, or data science program. New exercises and supplemental materials support more engagement with R, and include new code samples to accompany examples in a variety of chapters and sections that didn’t include them in the first edition. The new edition also includes for the first time: A thorough discussion of reproducibility in the context of generating random numbers Revised sections and exercises on conditioning, and a renewed description of specifying PMFs and PDFs Substantial organizational changes to improve the flow of the material Additional descriptions and supplemental examples to the bivariate sections to assist students with a limited understanding of calculus Perfect for upper-level undergraduate students in a first course on probability theory, Probability: With Applications and R is also ideal for researchers seeking to learn probability from the ground up or those self-studying probability for the purpose of taking advanced coursework or preparing for actuarial exams.
Book Synopsis Encyclopedia of Research Design by : Neil J. Salkind
Download or read book Encyclopedia of Research Design written by Neil J. Salkind and published by SAGE Publications. This book was released on 2010-06-22 with total page 1779 pages. Available in PDF, EPUB and Kindle. Book excerpt: To request a free 30-day online trial to this product, visit www.sagepub.com/freetrial Research design can be daunting for all types of researchers. At its heart it might be described as a formalized approach toward problem solving, thinking, and acquiring knowledge—the success of which depends upon clearly defined objectives and appropriate choice of statistical tools, tests, and analysis to meet a project's objectives. Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. Key Features Covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research Addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences Provides summaries of advantages and disadvantages of often-used strategies Uses hundreds of sample tables, figures, and equations based on real-life cases Key Themes Descriptive Statistics Distributions Graphical Displays of Data Hypothesis Testing Important Publications Inferential Statistics Item Response Theory Mathematical Concepts Measurement Concepts Organizations Publishing Qualitative Research Reliability of Scores Research Design Concepts Research Designs Research Ethics Research Process Research Validity Issues Sampling Scaling Software Applications Statistical Assumptions Statistical Concepts Statistical Procedures Statistical Tests Theories, Laws, and Principles Types of Variables Validity of Scores The Encyclopedia of Research Design is the perfect instrument for new learners as well as experienced researchers to explore both the original and newest branches of the field.
Download or read book Biophilosophy written by Rolf Sattler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to biophilosophy, written primarily for the student of biology, the practicing biologist, and the educated layperson. It does not presuppose technical knowledge in biology or philosophy. However, it requires a willingness to examine the most basic foundations of biology which are so often taken for granted. Furthermore, it points to the bottomlessness of these foundations, the mystery of life, the Unnamable .,. I have tried to further the awareness that biological statements are based on philosophical assumptions which are present in our minds even before we enter the laboratory. These assumptions, which often harbor strong commitments, are exposed throughout the book. I have tried to show how they influence concrete biolog ical research as well as our personal existence and society. Thus, emphasis is placed on the connection between biophilosophy and biological research on the one hand, and biophilosophy and the human condition on the other.
Book Synopsis Applied Probability by : Kenneth Lange
Download or read book Applied Probability written by Kenneth Lange and published by Springer Science & Business Media. This book was released on 2010-08-13 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. It can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. Readers should have a working knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory. Chapter 1 reviews elementary probability and provides a brief survey of relevant results from measure theory. Chapter 2 is an extended essay on calculating expectations. Chapter 3 deals with probabilistic applications of convexity, inequalities, and optimization theory. Chapters 4 and 5 touch on combinatorics and combinatorial optimization. Chapters 6 through 11 present core material on stochastic processes. If supplemented with appropriate sections from Chapters 1 and 2, there is sufficient material for a traditional semester-long course in stochastic processes covering the basics of Poisson processes, Markov chains, branching processes, martingales, and diffusion processes. The second edition adds two new chapters on asymptotic and numerical methods and an appendix that separates some of the more delicate mathematical theory from the steady flow of examples in the main text. Besides the two new chapters, the second edition includes a more extensive list of exercises, many additions to the exposition of combinatorics, new material on rates of convergence to equilibrium in reversible Markov chains, a discussion of basic reproduction numbers in population modeling, and better coverage of Brownian motion. Because many chapters are nearly self-contained, mathematical scientists from a variety of backgrounds will find Applied Probability useful as a reference
