Kinney | Probability | E-Book | sack.de
E-Book

E-Book, Englisch, 480 Seiten, E-Book

Kinney Probability

An Introduction with Statistical Applications

E-Book, Englisch, 480 Seiten, E-Book

ISBN: 978-1-118-94710-4
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Praise for the First Edition
"This is a well-written and impressively presentedintroduction to probability and statistics. The text throughout ishighly readable, and the author makes liberal use of graphs anddiagrams to clarify the theory." - The Statistician
Thoroughly updated, Probability: An Introduction withStatistical Applications, Second Edition features acomprehensive exploration of statistical data analysis as anapplication of probability. The new edition provides anintroduction to statistics with accessible coverage of reliability,acceptance sampling, confidence intervals, hypothesis testing, andsimple linear regression. Encouraging readers to develop a deeperintuitive understanding of probability, the author presentsillustrative geometrical presentations and arguments without theneed for rigorous mathematical proofs.
The Second Edition features interesting and practicalexamples from a variety of engineering and scientific fields, aswell as:
* Over 880 problems at varying degrees of difficulty allowingreaders to take on more challenging problems as their skill levelsincrease
* Chapter-by-chapter projects that aid in the visualization ofprobability distributions
* New coverage of statistical quality control and qualityproduction
* An appendix dedicated to the use ofMathematica¯® and a companion website containing thereferenced data sets
Featuring a practical and real-world approach, this textbook isideal for a first course in probability for students majoring instatistics, engineering, business, psychology, operations research,and mathematics. Probability: An Introduction with StatisticalApplications, Second Edition is also an excellent reference forresearchers and professionals in any discipline who need to makedecisions based on data as well as readers interested in learninghow to accomplish effective decision making from data.
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Autoren/Hrsg.


Weitere Infos & Material


John J. Kinney, PhD, is Professor Emeritus of Mathematicsat Rose-Hulman Institute of Technology in Terre Haute, Indiana.A Member of the American Statistical Association and theColorado Council of Teachers of Mathematics, Dr. Kinney is theauthor of numerous journal articles and three books, including AProbability and Statistics Companion, also published byWiley.


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