Foundations of Probability with Applications

Foundations of Probability with Applications PDF Author: Patrick Suppes
Publisher: Cambridge University Press
ISBN: 9780521568357
Category : Mathematics
Languages : en
Pages : 212

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Book Description
This is an important collection of essays by a leading philosopher, dealing with the foundations of probability.

Foundations of Probability with Applications

Foundations of Probability with Applications PDF Author: Patrick Suppes
Publisher: Cambridge University Press
ISBN: 9780521568357
Category : Mathematics
Languages : en
Pages : 212

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Book Description
This is an important collection of essays by a leading philosopher, dealing with the foundations of probability.

Foundations of Modern Probability

Foundations of Modern Probability PDF Author: Olav Kallenberg
Publisher: Springer Science & Business Media
ISBN: 9780387953137
Category : Mathematics
Languages : en
Pages : 670

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Book Description
The first edition of this single volume on the theory of probability has become a highly-praised standard reference for many areas of probability theory. Chapters from the first edition have been revised and corrected, and this edition contains four new chapters. New material covered includes multivariate and ratio ergodic theorems, shift coupling, Palm distributions, Harris recurrence, invariant measures, and strong and weak ergodicity.

Good Thinking

Good Thinking PDF Author: Irving J. Good
Publisher: Courier Corporation
ISBN: 0486474380
Category : Mathematics
Languages : en
Pages : 353

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Book Description
These sparkling essays by a gifted thinker offer philosophical views on the roots of statistical interference. A pioneer in the early development of computing, Irving J. Good made fundamental contributions to the theory of Bayesian inference and was a key member of the team that broke the German Enigma code during World War II. Good maintains that a grasp of probability is essential to answering both practical and philosophical questions. This compilation of his most accessible works concentrates on philosophical rather than mathematical subjects, ranging from rational decisions, randomness, and the nature of probability to operational research, artificial intelligence, cognitive psychology, and chess. These twenty-three self-contained articles represent the author's work in a variety of fields but are unified by a consistently rational approach. Five closely related sections explore Bayesian rationality; probability; corroboration, hypothesis testing, and simplicity; information and surprise; and causality and explanation. A comprehensive index, abundant references, and a bibliography refer readers to classic and modern literature. Good's thought-provoking observations and memorable examples provide scientists, mathematicians, and historians of science with a coherent view of probability and its applications.

Probability

Probability PDF Author: Robert P. Dobrow
Publisher: John Wiley & Sons
ISBN: 1118589440
Category : Mathematics
Languages : en
Pages : 366

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Book Description
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.

Fundamentals of Probability and Stochastic Processes with Applications to Communications

Fundamentals of Probability and Stochastic Processes with Applications to Communications PDF Author: Kun Il Park
Publisher: Springer
ISBN: 3319680757
Category : Technology & Engineering
Languages : en
Pages : 277

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Book Description
This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems. Applications examples are drawn from various areas of communications. If a reader is interested in understanding probability and stochastic processes that are specifically important for communications networks and systems, this book serves his/her need.

Elementary Probability for Applications

Elementary Probability for Applications PDF Author: Rick Durrett
Publisher: Cambridge University Press
ISBN: 1139480731
Category : Mathematics
Languages : en
Pages : 255

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Book Description
This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.

Foundations and Philosophy of Epistemic Applications of Probability Theory

Foundations and Philosophy of Epistemic Applications of Probability Theory PDF Author: W.L. Harper
Publisher: Springer Science & Business Media
ISBN: 9789027706171
Category : Gardening
Languages : en
Pages : 334

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Book Description
Proceedings of an International Research Colloquium held at the University of Western Ontario, 10-13 May 1973.

Foundations of Constructive Probability Theory

Foundations of Constructive Probability Theory PDF Author: Yuen-Kwok Chan
Publisher: Cambridge University Press
ISBN: 1108835430
Category : Mathematics
Languages : en
Pages : 627

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Book Description
This book provides a systematic and general theory of probability within the framework of constructive mathematics.

Probability Foundations for Engineers

Probability Foundations for Engineers PDF Author: Joel A. Nachlas
Publisher: CRC Press
ISBN: 1000855945
Category : Mathematics
Languages : en
Pages : 186

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Book Description
This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. The book offers theory in an accessible manner and includes numerous practical examples based on engineering applications. Probability Foundations for Engineers, Second Edition continues to focus specifically on probability rather than probability and statistics. It offers a conversational presentation rather than a theorem or proof and includes examples based on engineering applications as it highlights Excel computations. This new edition presents a review of set theory and updates all descriptions, such as events versus outcomes, so that they are more understandable. Additional new material includes distributions such as beta and lognormal, a section on counting principles for defining probabilities, a section on mixture distributions and a pair of distribution summary tables. Intended for undergraduate engineering students, this new edition textbook offers a foundational knowledge of probability. It is also useful to engineers already in the field who want to learn more about probability concepts. An updated solutions manual is available for qualified textbook adoptions.

Good Thinking

Good Thinking PDF Author: Irving John Good
Publisher: U of Minnesota Press
ISBN: 9780816611416
Category : Mathematics
Languages : en
Pages : 332

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Book Description