Introductory Statistics and Random Phenomena: Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Modern Birkhäuser Classics) - Softcover

Denker, Manfred; Woyczynski, Wojbor

 
9783319661513: Introductory Statistics and Random Phenomena: Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Modern Birkhäuser Classics)
Softcover
ISBN 10: 3319661515 ISBN 13: 9783319661513
Verlag: Birkhäuser, 2017

Inhaltsangabe

This textbook 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™ software packages which optimize and facilitate the simulation environment.  Brief tutorials are included that explain how to use the Mathematica® 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™ 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.


Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Manfred Denker, Penn State University, USA


Wojbor Woyczynski, Case Western Reserve University, USA

Von der hinteren Coverseite

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™ 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™ 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 Reviews

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Verlag
Birkhäuser
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3319661515
ISBN 13 
9783319661513
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
535
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