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Probability Sun
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Download or read book Probability Sun written by Nancy Kress and published by Macmillan. This book was released on 2003-02-17 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: A group of scientists is sent to a distant planet to study an artifact that may hold the key to victory against the alien Fallers.
Download or read book Probability Sun written by Nancy Kress and published by Tor Books. This book was released on 2003-02-17 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Salvation or Annihilation? A strange artifact has been discovered on a distant planet, an artifact that may be the key to humanity's salvation. For we at war with the Fallers, an alien race bent on nothing short of genocide, and this is a war we are losing. The artifact is not only a powerful weapon, but possibly the rosetta stone to a lost superscience . . . a superscience that the Fallers may have already decoded. Or it may be a doomsday machine that could destroy the very fabric of space. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.
Download or read book Probability written by D. H. Mellor and published by Psychology Press. This book was released on 2005 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents the basic concepts of probability to philosophy students who are new to this area of the subject.
Book Synopsis The Sun by : Richard Anthony Proctor
Download or read book The Sun written by Richard Anthony Proctor and published by . This book was released on 1872 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Interpreting Probability by : David Howie
Download or read book Interpreting Probability written by David Howie and published by Cambridge University Press. This book was released on 2002-08-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term probability can be used in two main senses. In the frequency interpretation it is a limiting ratio in a sequence of repeatable events. In the Bayesian view, probability is a mental construct representing uncertainty. This 2002 book is about these two types of probability and investigates how, despite being adopted by scientists and statisticians in the eighteenth and nineteenth centuries, Bayesianism was discredited as a theory of scientific inference during the 1920s and 1930s. Through the examination of a dispute between two British scientists, the author argues that a choice between the two interpretations is not forced by pure logic or the mathematics of the situation, but depends on the experiences and aims of the individuals involved. The book should be of interest to students and scientists interested in statistics and probability theories and to general readers with an interest in the history, sociology and philosophy of science.
Book Synopsis Handbook of Probability by : Tamás Rudas
Download or read book Handbook of Probability written by Tamás Rudas and published by SAGE Publications. This book was released on 2008-02-21 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is a valuable reference guide for readers interested in gaining a basic understanding of probability theory or its applications in problem solving in the other disciplines." —CHOICE Providing cutting-edge perspectives and real-world insights into the greater utility of probability and its applications, the Handbook of Probability offers an equal balance of theory and direct applications in a non-technical, yet comprehensive, format. Editor Tamás Rudas and the internationally-known contributors present the material in a manner so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding. The wide-ranging applications of probability presented make it useful for scholars who need to make interdisciplinary connections in their work. Key Features Contains contributions from the international who′s-who of probability across several disciplines Offers an equal balance of theory and applications Explains the most important concepts of probability theory in a non-technical yet comprehensive way Provides in-depth examples of recent applications in the social and behavioral sciences as well as education, business, and law Intended Audience This Handbook makes an ideal library purchase. In addition, this volume should also be of interest to individual scholars in the social and behavioral sciences.
Book Synopsis Probability and Statistics by : Cain Mckay
Download or read book Probability and Statistics written by Cain Mckay and published by Scientific e-Resources. This book was released on 2019-01-30 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Theory of Probability by : Santosh S. Venkatesh
Download or read book The Theory of Probability written by Santosh S. Venkatesh and published by Cambridge University Press. This book was released on 2013 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: From classical foundations to modern theory, this comprehensive guide to probability interweaves mathematical proofs, historical context and detailed illustrative applications.
Book Synopsis Philosophical Theories of Probability by : Donald Gillies
Download or read book Philosophical Theories of Probability written by Donald Gillies and published by Routledge. This book was released on 2012-09-10 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Twentieth Century has seen a dramatic rise in the use of probability and statistics in almost all fields of research. This has stimulated many new philosophical ideas on probability. Philosophical Theories of Probability is the first book to present a clear, comprehensive and systematic account of these various theories and to explain how they relate to one another. Gillies also offers a distinctive version of the propensity theory of probability, and the intersubjective interpretation, which develops the subjective theory.
Book Synopsis Probability and Bayesian Modeling by : Jim Albert
Download or read book Probability and Bayesian Modeling written by Jim Albert and published by CRC Press. This book was released on 2019-12-06 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
Download or read book Probability Moon written by Nancy Kress and published by Macmillan. This book was released on 2002-09-16 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: While expanding out into interstellar space using star gates left by an ancient, long-vanished race, humanity encounters the Fallers, an alien race bent on genocide. In this fragile situation, a new planet is discovered. A team of human scientists is sent to investigate the pre-industrial race living there. But what the scientists don't know is that their mission of first contact is actually a covert military operation.
Book Synopsis Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability by : Jerzy Neyman
Download or read book Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability written by Jerzy Neyman and published by Univ of California Press. This book was released on 1961 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fundamentals of Probability by : Saeed Ghahramani
Download or read book Fundamentals of Probability written by Saeed Ghahramani and published by CRC Press. This book was released on 2018-09-05 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it has sufficient material for a sequel course introducing stochastic processes and stochastic simulation." --Nawaf Bou-Rabee, Associate Professor of Mathematics, Rutgers University Camden, USA "This book is an excellent primer on probability, with an incisive exposition to stochastic processes included as well. The flow of the text aids its readability, and the book is indeed a treasure trove of set and solved problems. Every sub-topic within a chapter is supplemented by a comprehensive list of exercises, accompanied frequently by self-quizzes, while each chapter ends with a useful summary and another rich collection of review problems." --Dalia Chakrabarty, Department of Mathematical Sciences, Loughborough University, UK "This textbook provides a thorough and rigorous treatment of fundamental probability, including both discrete and continuous cases. The book’s ample collection of exercises gives instructors and students a great deal of practice and tools to sharpen their understanding. Because the definitions, theorems, and examples are clearly labeled and easy to find, this book is not only a great course accompaniment, but an invaluable reference." --Joshua Stangle, Assistant Professor of Mathematics, University of Wisconsin – Superior, USA This one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, engineering, statistics, actuarial science, business and finance, operations research, and computer science. It presents probability in a natural way: through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. This book is mathematically rigorous and, at the same time, closely matches the historical development of probability. Whenever appropriate, historical remarks are included, and the 2096 examples and exercises have been carefully designed to arouse curiosity and hence encourage students to delve into the theory with enthusiasm. New to the Fourth Edition: 538 new examples and exercises have been added, almost all of which are of applied nature in realistic contexts Self-quizzes at the end of each section and self-tests at the end of each chapter allow students to check their comprehension of the material An all-new Companion Website includes additional examples, complementary topics not covered in the previous editions, and applications for more in-depth studies, as well as a test bank and figure slides. It also includes complete solutions to all self-test and self-quiz problems Saeed Ghahramani is Professor of Mathematics and Dean of the College of Arts and Sciences at Western New England University. He received his Ph.D. from the University of California at Berkeley in Mathematics and is a recipient of teaching awards from Johns Hopkins University and Towson University. His research focuses on applied probability, stochastic processes, and queuing theory.
Book Synopsis Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Volume III by : Jerzy Neyman
Download or read book Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Volume III written by Jerzy Neyman and published by Univ of California Press. This book was released on 2023-11-15 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Probability Moon written by Nancy Kress and published by Tor Books. This book was released on 2002-09-16 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humankind has expanded out into interstellar space using star gates-technological remnants left behind by an ancient, long-vanished race. But the technology comes with a price. Among the stars, humanity encountered the Fallers, a strange alien race bent on nothing short of genocide. It's all-out war, and humanity is losing. In this fragile situation, a new planet is discovered, inhabited by a pre-industrial race who experience "shared reality"-they're literally compelled to share the same worldview. A team of human scientists is dispatched-but what they don't know is that their mission of first contact is actually a covert military operation. For one of the planet's moons is really a huge mysterious artifact of the same origin as the star gates . . . and it just may be the key to winning the war. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.
Download or read book Logic, Probability and Science written by and published by BRILL. This book was released on 2022-02-22 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the contents: Charles MORGAN: Canonical models and probabilistic semantics. - Francois LEPAGE: A many-valued probabilistic logic. - Piers RAWLING: The exchange paradox, finite additivity, and the principle of dominance. - Susan VINEBERG: The logical status of conditionalization and its role in confirmation. - Deborah MAYO: Science, error statistics, and arguing from error. - Mark N. LANCE: The best is the enemy of the good: Bayesian epistemology as a case study in unhelpful idealization. - Robert B. GARDNER & Michael C. WOOTEN: An application of Bayes' theorem to population genetics. - Peter D. JOHNSON, Jr.: Another look at group selection."
Book Synopsis Probability Theory by : E. T. Jaynes
Download or read book Probability Theory written by E. T. Jaynes and published by Cambridge University Press. This book was released on 2003-04-10 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.