An Introduction to Mathematical Probability (Classic Reprint)

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Publisher : Forgotten Books
ISBN 13 : 9780331462692
Total Pages : 236 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis An Introduction to Mathematical Probability (Classic Reprint) by : Julian Lowell Coolidge

Download or read book An Introduction to Mathematical Probability (Classic Reprint) written by Julian Lowell Coolidge and published by Forgotten Books. This book was released on 2017-11-19 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excerpt from An Introduction to Mathematical Probability The subjects of mean value and expectation, which have always played a central role in the theory of probabilities, have taken on additional importance in recent years, owing to the idea of dispersion, and its application to statistical series. For that reason they have been given a good deal of prominence. Per contra, geometrical probability, which is little more than a plaything, and the probability of causes, which rests on very shaky foundations, are treated briefly. Yet they should not be omitted entirely, for the former is related to statistical mechanics, and the latter gives the only answers we have to certain questions which recur insistently. The most important part of the theory is that which deals with the distribution of errors of observation. The funda mental question here is what to do with the exponential law of Gauss. I have tried to make it as plausible as I could by basing it, on very broad assumptions, even though this adds somewhat to the length of the deduction. I have, however, given the principles of combining observations as far as possible independently of the Gaussian law. The study of errors in two dimensions, which formerly interested few but students of artillery practice, has taken on a new importance through its relation to statistical correlation. 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.

An Introduction to Mathematical Probability

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Publisher : Mjp Publishers
ISBN 13 : 9789391270971
Total Pages : 0 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis An Introduction to Mathematical Probability by : Julian Lowell Coolidge

Download or read book An Introduction to Mathematical Probability written by Julian Lowell Coolidge and published by Mjp Publishers. This book was released on 2023-02-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: NA

An Introduction to Mathematical Probability

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Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis An Introduction to Mathematical Probability by : Julian Lowell Coolidge

Download or read book An Introduction to Mathematical Probability written by Julian Lowell Coolidge and published by . This book was released on 1925 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: A toddler striving to be perfect learns to accept that everyone makes mistakes.

Introduction to Probability and Mathematical Statistics

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Publisher : Duxbury Press
ISBN 13 : 9780534380205
Total Pages : 644 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Introduction to Probability and Mathematical Statistics by : Lee J. Bain

Download or read book Introduction to Probability and Mathematical Statistics written by Lee J. Bain and published by Duxbury Press. This book was released on 2000-03-01 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability (stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward applications.

Probability

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Publisher : SIAM
ISBN 13 : 9781611971286
Total Pages : 421 pages
Book Rating : 4.84/5 ( download)

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Book Synopsis Probability by : Leo Breiman

Download or read book Probability written by Leo Breiman and published by SIAM. This book was released on 1968-01-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Probability

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Publisher : Cambridge University Press
ISBN 13 : 110824498X
Total Pages : 447 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Introduction to Probability by : David F. Anderson

Download or read book Introduction to Probability written by David F. Anderson and published by Cambridge University Press. This book was released on 2017-11-02 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to Mathematical Probability

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Publisher : Hassell Street Press
ISBN 13 : 9781015229785
Total Pages : 234 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis An Introduction to Mathematical Probability by : Julian Lowell 1873-1954 Coolidge

Download or read book An Introduction to Mathematical Probability written by Julian Lowell 1873-1954 Coolidge and published by Hassell Street Press. This book was released on 2021-09-10 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Elementary Probability Theory with Stochastic Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 1475739737
Total Pages : 332 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Elementary Probability Theory with Stochastic Processes by : K. L. Chung

Download or read book Elementary Probability Theory with Stochastic Processes written by K. L. Chung and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an elementary introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, amply motivated, explained and illustrated with a large number of carefully selected samples. The fourth edition adds material related to mathematical finance, as well as expansions on stable laws and martingales.

Probability

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Publisher :
ISBN 13 :
Total Pages : 270 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Probability by : James Victor Uspensky

Download or read book Probability written by James Victor Uspensky and published by . This book was released on 19?? with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Probability with Statistical Applications

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Publisher : Birkhäuser
ISBN 13 : 3319306200
Total Pages : 385 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Introduction to Probability with Statistical Applications by : Géza Schay

Download or read book Introduction to Probability with Statistical Applications written by Géza Schay and published by Birkhäuser. This book was released on 2016-06-17 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand’s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics. Key features in new edition: * 35 new exercises * Expanded section on the algebra of sets * Expanded chapters on probabilities to include more classical examples * New section on regression * Online instructors' manual containing solutions to all exercises“/p> Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications. Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. ... the book is written ‘for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.’ ... Each new concept is clearly explained and is followed by many detailed examples. ... numerous examples of calculations are given and proofs are well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)