Introduction to probability with statistical applications [electronic resource] / Geza Schay.
Schay, Geza, author.
2016
QA273
Available Online

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Title Introduction to probability with statistical applications [electronic resource] / Geza Schay.
Author Schay, Geza, author.
Edition Second edition.
ISBN 9783319306209 (electronic book)
3319306200 (electronic book)
9783319306186
DOI https://doi.org/10.1007/978-3-319-30620-9
Published Switzerland : Birkhäuser, 2016.
Language English
Description 1 online resource (xii, 385 pages) : illustrations
Item Number 10.1007/978-3-319-30620-9 doi
Call Number QA273
Dewey Decimal Classification 519.2
Summary 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 <advanced undergraduate="" and="" graduate="" students="" in="" computer="" science,="" engineering,="" other="" natural="" social="" sciences="" with="" only="" a="" basic="" background="" calculus="" will="" benefit="" from="" this="" introductory="" text="" balancing="" theory="" applications.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. <advanced undergraduate="" and="" graduate="" students="" in="" computer="" science,="" engineering,="" other="" natural="" social="" sciences="" with="" only="" a="" basic="" background="" calculus="" will="" benefit="" from="" this="" introductory="" text="" balancing="" theory="" 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).
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 22, 2016).
Available in Other Form Print version: 9783319306186
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Record Appears in Online Resources > Ebooks
All Resources
Introduction
The Algebra of Events
Combinatorial Problems
Probabilities
Random Variables
Expectation, Variance, Moments
Some Special Distributions
The Elements of Mathematical Statistics.

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