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- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Industry and Technology (SIT)
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Table of contents (9 chapters)
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Front Matter
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Descriptive Statistics-Compressing Data
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Front Matter
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Model Specification-Design of Experiments
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Front Matter
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Back Matter
Reviews
"This is an innovative book... Well-constructed computer exercises with a bundled easily usable software package ‘Mathematica® Uncertain Virtual Worlds®’... The bibliographical notes that accompany each chapter…are clearly written with a keen eye toward encouraging students to enrich their understanding by pursuing additional reading…A lucidly written text and many well-designed computer experiments that enable students to simulate the whole process of some dynamic systems." —Technometrics
"Highly data-oriented, with an unusually large collection of real-life examples taken from industry and various scientific disciplines… The book departs from the standard fare, by [also] including detailed coverage of such contemporary topics as chaotic dynamical systems, the nature of randomness, computability and Kolmogorov complexity, encryption, ergodicity, entropy, and even fractals." —Short Book Reviews (Int’l Statistical Institute)
"The novelty of the book is the integration of ideas about statistics of random phenomena stemming from algorithmic computational complexity, classical probability theory and chaotic behavior in nonlinear systems, and the broad use of Mathematica in the exposition. Moreover, the examples of statistical problems used arise in real-life industrial and scientific lab situations and have been collected from the engineering and scientific literature, or through direct interaction with practicing engineers and scientists. The authors' goal is to give engineering and science students a forward-looking alternative to the usual introductory statistics courses...In summary, I find Introductory statistics and random phenomena an excellent textbook, and I strongly recommend it as an introductory technical statistics course to engineering and science students who have had a basic programming course in computer science. I expect it to becomea classic." —Mathematical Reviews
Authors and Affiliations
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Georg-August-Universität, Göttingen, Germany
Manfred Denker
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Case Western Reserve University, Cleveland
Wojbor A. Woyczyński
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Université Joseph Fourier, Grenoble, France
Bernard Ycart
Bibliographic Information
Book Title: Introductory Statistics and Random Phenomena
Book Subtitle: Uncertainty, Complexity and Chaotic Behavior in Engineering and Science
Authors: Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-1-4612-2028-2
Publisher: Birkhäuser Boston, MA
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-8176-4031-6Published: 01 November 1998
Softcover ISBN: 978-1-4612-7388-2Published: 08 October 2012
eBook ISBN: 978-1-4612-2028-2Published: 06 December 2012
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: XXIV, 509
Topics: Mathematical and Computational Engineering, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Applications of Mathematics, Probability Theory and Stochastic Processes, Computational Science and Engineering