The Book on Games of Chance

The Book on Games of Chance PDF Author: Gerolamo Cardano
Publisher: Courier Dover Publications
ISBN: 048680898X
Category : Games & Activities
Languages : en
Pages : 68

Book Description
Mathematics was only one area of interest for Gerolamo Cardano ― the sixteenth-century astrologer, philosopher, and physician was also a prolific author and inveterate gambler. Gambling led Cardano to the study of probability, and he was the first writer to recognize that random events are governed by mathematical laws. Published posthumously in 1663, Cardano's Liber de ludo aleae (Book on Games of Chance) is often considered the major starting point of the study of mathematical probability. The Italian scholar formulated some of the field's basic ideas more than a century before the better-known correspondence of Pascal and Fermat. Although his book had no direct influence on other early thinkers about probability, it remains an important antecedent to later expressions of the science's tenets.

Probability is the Very Guide of Life

Probability is the Very Guide of Life PDF Author: Henry Ely Kyburg
Publisher: Open Court Publishing
ISBN: 9780812695137
Category : Mathematics
Languages : en
Pages : 388

Book Description
This collection of philosophical essays looks at various technical problems in the use of probability theory for guidance in practical decisions. This text is intended for those who already have a basic grounding in philosophy, logic and probabilty theory.

The Theory of Probability

The Theory of Probability PDF Author: Harold Jeffreys
Publisher: OUP Oxford
ISBN: 0191589675
Category : Science
Languages : en
Pages : 474

Book Description
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.

J.M. Keynes Versus F.H. Knight

J.M. Keynes Versus F.H. Knight PDF Author: Yasuhiro Sakai
Publisher: Springer
ISBN: 9811380007
Category : Business & Economics
Languages : en
Pages : 164

Book Description
This book critically discusses and systematically compares J.M. Keynes and F. H. Knight, two giants in the history of economic thought. In 1921 they both published apparently similar books on risk, probability, and uncertainty. However, while Knight's contribution on risk and uncertainty is now well recognized, Keynes's work on probability and uncertainty has been somewhat ignored in the shadow of his more famous The General Theory of Employment, Interest and Money (1936). Focusing on an earlier yet equally important volume by Keynes, A Treatise on Probability (1921), this book sheds a light on his outstanding ideas and the lasting influence on his later works, including The General Theory. There are few books that systematically discuss Keynes and Knight, although there are remarkable comparisons between Keynes's concept of probability and uncertainty and Knight's distinction between a measurable risk and a non-measurable uncertainty. This timely book unifies Keynes and Knight into a new, comprehensive approach to a very complex human behavior

Probability Foundations of Economic Theory

Probability Foundations of Economic Theory PDF Author: Charles McCann
Publisher: Routledge
ISBN: 113483912X
Category : Business & Economics
Languages : en
Pages : 350

Book Description
First published in 1994. Concepts of probability are an integral component of economic theory. However there are a wide range of theories of probability and these are manifested in different approaches to economic theory itself. In this book Charles McCann, Jr provides a clear and informative survey of the area which serves to standardize terminology and so integrate probability into a discussion of the foundations of economic theory. This is illustrated by examples from Austrian, Keynesian and New Classical Economics.

Keynes's Uncertain Revolution

Keynes's Uncertain Revolution PDF Author: Bradley W. Bateman
Publisher: University of Michigan Press
ISBN: 9780472107087
Category : Biography & Autobiography
Languages : en
Pages : 206

Book Description
Places Keynes's concern with probability and uncertainty in full historical context.

The Philosophy of Keynes's Economics

The Philosophy of Keynes's Economics PDF Author: Jochen Runde
Publisher: Psychology Press
ISBN: 9780415312448
Category : Keynesian economics
Languages : en
Pages : 292

Book Description
John Maynard Keynes is undoubtedly the most influential Western economist of the twentieth century. His emphasis on the nature and role of uncertainty in economic thought is a dominant theme in his writings. This book brings together a wide array of experts on Keynes' thought such as Gay Tulip Meeks, Sheila Dow and John Davis who discuss, analyse and criticise such themes as Keynesian probability and uncertainty, the foundations of Keynes' economics and the relationship between Keynes' earlier and later thought. The Philosophy of Keynes' Economics is a readable and comprehensive book that will interest students and academics interested in the man and his thought.

Probability Theory

Probability Theory PDF Author:
Publisher: Allied Publishers
ISBN: 9788177644517
Category :
Languages : en
Pages : 436

Book Description
Probability theory

Introduction to Probability

Introduction to Probability PDF Author: David F. Anderson
Publisher: Cambridge University Press
ISBN: 110824498X
Category : Mathematics
Languages : en
Pages : 447

Book Description
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.
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