Probability

Author: Leo Breiman
Publisher: SIAM
ISBN: 1611971284
Size: 12.95 MB
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Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory. It may be used as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure theory, or as a supplement in courses in stochastic processes or mathematical statistics. Designed around the needs of the student, this book achieves readability and clarity by giving the most important results in each area while not dwelling on any one subject. Each new idea or concept is introduced from an intuitive, common-sense point of view. Students are helped to understand why things work, instead of being given a dry theorem-proof regime.

Classical Probability In The Enlightenment

Author: Lorraine Daston
Publisher: Princeton University Press
ISBN: 069100644X
Size: 18.82 MB
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What did it mean to be reasonable in the Age of Reason? Classical probabilists from Jakob Bernouli through Pierre Simon Laplace intended their theory as an answer to this question--as "nothing more at bottom than good sense reduced to a calculus, " in Laplace's words. In terms that can be easily grasped by nonmathematicians, Lorraine Daston demonstrates how this view profoundly shaped the internal development of probability theory and defined its applications.What did it mean to be reasonable in the Age of Reason? Classical probabilists from Jakob Bernouli through Pierre Simon Laplace intended their theory as an answer to this question--as "nothing more at bottom than good sense reduced to a calculus, " in Laplace's words. In terms that can be easily grasped by nonmathematicians, Lorraine Daston demonstrates how this view profoundly shaped the internal development of probability theory and defined its applications.

Probability

Author: Eric T. Olson
Publisher: Walch Publishing
ISBN: 0825138116
Size: 13.88 MB
Format: PDF, ePub, Mobi
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Covers key middle school and high school topics in the context of everyday life scenarios. Makes data collection and description, outcomes, probability, tree diagrams, multiplying probabilities, and odds fun and understandable.

Probability

Author: Davar Khoshnevisan
Publisher: American Mathematical Soc.
ISBN: 9780821842157
Size: 13.79 MB
Format: PDF
View: 95

This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various applications. As a result, a few of the familiar topics are replaced by interesting non-standard ones. The topics range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Throughout, the reader will find many exciting applications of probability theory and probabilistic reasoning. There are numerous exercises, ranging from the routine to the very difficult. Each chapter concludes with historical notes.

Probability A Very Short Introduction

Author: John Haigh
Publisher: Oxford University Press
ISBN: 9780199588480
Size: 18.89 MB
Format: PDF, ePub, Docs
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Making good decisions under conditions of uncertainty requires an appreciation of the way random chance works. In this Very Short Introduction, John Haigh provides a brief account of probability theory; explaining the philosophical approaches, discussing probability distributions, and looking its applications in science and economics.

Probability Theory

Author: Heinz Bauer
Publisher: Walter de Gruyter
ISBN: 3110139359
Size: 14.12 MB
Format: PDF, ePub, Docs
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An introductory text covering basic concepts of the theory followed by chapters addressing independence, laws of large numbers, martingales, Fourier analysis, limit distribution, law of the iterated logarithm, construction of stochastic processes, and Brownian motion. Presupposing a basic knowledge of measure and integration theory, the text makes use of numerous examples and is indexed by symbols, names, and topics. Annotation copyright by Book News, Inc., Portland, OR

Probability

Author: Rick Durrett
Publisher: Cambridge University Press
ISBN: 9781139491136
Size: 11.89 MB
Format: PDF, Docs
View: 19

This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.