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Introductory Statistics And Random Phenomena

Author: Manfred Denker
Publisher: Birkhäuser
ISBN: 3319661523
Size: 15.45 MB
Format: PDF, ePub
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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 WorldsTM 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 WorldsTM 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.

A First Course In Statistics For Signal Analysis

Author: Wojbor A. Woyczynski
Publisher: Springer Science & Business Media
ISBN: 9780817645168
Size: 63.59 MB
Format: PDF, ePub, Mobi
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This self-contained, deliberately compact, and user-friendly book is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation. Developed by the author over the course of several years of classroom use, this book may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences.

Books In Print

Author: R.R. Bowker Company
Publisher:
ISBN:
Size: 61.99 MB
Format: PDF
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Books in print is the major source of information on books currently published and in print in the United States. The database provides the record of forthcoming books, books in-print, and books out-of-print.

Chance And Chaos

Author: David Ruelle
Publisher: Princeton University Press
ISBN: 9780691021003
Size: 21.30 MB
Format: PDF, Kindle
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How do scientists look at chance, or randomness, and chaos in physical systems? In answering this question for a general audience, Ruelle has produced an authoritative and elegant book--a model of clarity, succinctness, and with humor bordering on the sardonic. Ruelle is a professor of theoretical physics in France.

Complexity

Author: Mitchell M. Waldrop
Publisher: Simon and Schuster
ISBN: 0671872346
Size: 55.47 MB
Format: PDF, Kindle
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A look at the rebellious thinkers who are challenging old ideas with their insights into the ways countless elements of complex systems interact to produce spontaneous order out of confusion

The Computational Beauty Of Nature

Author: Gary William Flake
Publisher: MIT Press
ISBN: 9780262561273
Size: 22.23 MB
Format: PDF, Docs
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Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors.