Introductory Statistics and Random Phenomena / Modern Birkhäuser Classics (PDF)
Uncertainty, Complexity and Chaotic Behavior in Engineering and Science
(Sprache: Englisch)
Introductory Statistics and Random Phenomena integrates traditional statistical data analysis with new computational experimentation capabilities and concepts of algorithmic complexity and chaotic behavior in nonlinear dynamic systems. This was the first...
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Introductory Statistics and Random Phenomena integrates traditional statistical data analysis with new computational experimentation capabilities and concepts of algorithmic complexity and chaotic behavior in nonlinear dynamic systems. This was the first advanced text/reference to bring together such a comprehensive variety of tools for the study of random phenomena occurring in engineering and the natural, life, and social sciences.
The crucial computer experiments are conducted using the readily available computer program Mathematica® Uncertain Virtual Worlds(TM) software packages which optimize and facilitate the simulation environment. Brief tutorials are included that explain how to use theMathematica® programs for effective simulation and computer experiments. Large and original real-life data sets are introduced and analyzed as a model for independent study.
This is an excellent classroom tool and self-study guide. The material is presented in a clear and accessible style providing numerous exercises and bibliographical notes suggesting further reading.
Topics and Features
- Comprehensive and integrated treatment of uncertainty arising in engineering and scientific phenomena - algorithmic complexity, statistical independence, and nonlinear chaotic behavior
- Extensive exercise sets, examples, and Mathematica® computer experiments that reinforce concepts and algorithmic methods
- Thorough presentation of methods of data compression and representation
- Algorithmic approach to model selection and design of experiments
- Large data sets and 13 Mathematica®-based Uncertain Virtual Worlds(TM) programs and code
This text is an excellent resource for all applied statisticians, engineers, and scientists who need to use modern statistical analysis methods to investigate and model their data. The present, softcover reprint is designed to make this classic textbook available to a wider audience.
Reviews
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, International Statistical Institute
I find [this book] to be 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 become a classic.
<-Mathematical ReviewsAutoren-Porträt von Manfred Denker, Wojbor Woyczynski
Manfred Denker, Penn State University, USAWojbor Woyczynski, Case Western Reserve University, USA
Bibliographische Angaben
- Autoren: Manfred Denker , Wojbor Woyczynski
- 2017, 1st ed. 2017, 509 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319661523
- ISBN-13: 9783319661520
- Erscheinungsdatum: 16.09.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 30 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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