Foundations of the Theory of Probability (Classic Reprint)
Foundations of the Theory of Probability (Classic Reprint)

Author: A. N. KOLMOGOROV

Publisher: Forgotten Books

Published: 2017-11-20

Total Pages: 0

ISBN-13: 9780331497120

DOWNLOAD EBOOK

Excerpt from Foundations of the Theory of Probability The purpose of this monograph is to give an axiomatic foundation for the theory of probability. The author set himself the task of putting in the1r natural place, among the general notions of modern mathematics, the basic concepts of probability theory - concepts which until recently were considered to be quite peculiar. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Foundations of Modern Probability
Foundations of Modern Probability

Author: Olav Kallenberg

Publisher: Springer Science & Business Media

Published: 2002-01-08

Total Pages: 670

ISBN-13: 9780387953137

DOWNLOAD EBOOK

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.

The Theory of Probability
The Theory of Probability

Author: Harold Jeffreys

Publisher: OUP Oxford

Published: 1998-08-06

Total Pages: 474

ISBN-13: 0191589675

DOWNLOAD EBOOK

Another title in the reissued Oxford Classic Texts in the Physical Sciences series, Jeffrey's Theory of Probability, first published in 1939, was the first to develop a fundamental theory of scientific inference based on the ideas of Bayesian statistics. His ideas were way ahead of their time and it is only in the past ten years that the subject of Bayes' factors has been significantly developed and extended. Until recently the two schools of statistics (Bayesian and Frequentist) were distinctly different and set apart. Recent work (aided by increased computer power and availability) has changed all that and today's graduate students and researchers all require an understanding of Bayesian ideas. This book is their starting point.

Philosophical Foundations of Probability Theory
Philosophical Foundations of Probability Theory

Author: Roy Weatherford

Publisher: Taylor & Francis

Published: 2022-06-01

Total Pages: 220

ISBN-13: 1000626091

DOWNLOAD EBOOK

First published in 1982, Philosophical Foundations of Probability Theory starts with the uses we make of the concept in everyday life and then examines the rival theories that seek to account for these applications. It offers a critical exposition of the major philosophical theories of probability, with special attention given to the metaphysical and epistemological assumptions and implications of each. The Classical Theory suggests probability is simply the ratio of favorable cases to all equi-possible cases: it is this theory that is relied on by gamblers and by most non-specialists. The A Priori Theory, on the other hand, describes probability as a logical relation between statements based on evidence. The Relative Frequency theories locate it not in logic but among empirical rates of occurrence in the real world, while the Subjectivist Theory identifies probability with the degree of a person’s belief in a proposition. Each of these types of theory is examined in turn, and the treatment is unified by the use of running examples and parallel analyses of each theory. The final chapter includes a summary and the author’s conclusions. This book is an essential read for scholars and researchers of Philosophy.

The Theory of Probability
The Theory of Probability

Author: Santosh S. Venkatesh

Publisher: Cambridge University Press

Published: 2013

Total Pages: 830

ISBN-13: 1107024471

DOWNLOAD EBOOK

From classical foundations to modern theory, this comprehensive guide to probability interweaves mathematical proofs, historical context and detailed illustrative applications.

Concepts of Probability Theory
Concepts of Probability Theory

Author: Paul E. Pfeiffer

Publisher: Courier Corporation

Published: 2013-05-13

Total Pages: 418

ISBN-13: 0486165663

DOWNLOAD EBOOK

Using the Kolmogorov model, this intermediate-level text discusses random variables, probability distributions, mathematical expectation, random processes, more. For advanced undergraduates students of science, engineering, or math. Includes problems with answers and six appendixes. 1965 edition.

Probability Foundations for Engineers
Probability Foundations for Engineers

Author: Joel A. Nachlas

Publisher: CRC Press

Published: 2023-04-04

Total Pages: 186

ISBN-13: 1000855945

DOWNLOAD EBOOK

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.