This work integrates traditional statistical data analysis with new computational simulation and experimental capabilities. It explains modern data analysis and demonstrates computational experiments, developing an understanding of the effect of random phenomena using Mathematica.
Introductory Statistics and Random Phenomena
and over one million other books are available for Amazon Kindle.
Learn more
FREE Two-Day Shipping for Students. Learn more |
| |||||||||||||||
 Sell Back Your Copy for $8.70
Whether you buy it used on Amazon for $59.95 or somewhere else, you can sell it back through our Book Trade-In Program at the current price of $8.70.
Used Price$59.95
Trade-in Price$8.70
Price after
Trade-in$51.25 |
Book Description
Special Offers and Product Promotions
- Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)
Frequently Bought Together
Editorial Reviews
Review
"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 become a classic." —Mathematical Reviews
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
There are no customer reviews yet.
|
|||
|
Video reviews
|
Inside This Book
(learn more)
First Sentence:
In this chapter you will find a collection of examples of phenomena where the randomness plays an essential role. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
maximal irregularity, axiomatic probability theory, independent random quantities, unbiased sample variance, equipartition property, fractal data, pinball table, quantile function, rotation map, approximate entropy, correlation dimension, tent map, frequency distribution function, shift map, bad items, random quantity, ergodic behavior, given significance level, pseudorandom number generators, invariant density Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Web Site, Stability of Fluctuations Law, John Wiley, Use Mathematica, Mathematical Aside, Monte Carlo, Stability of Frequencies Law, Law of Tested Averages, Mathematica Project, Countable Additivity Axiom, Mathematica Statistics, Cambridge University Press, Kolmogorov-Smirnov Theorem, Leaning Tower of Pisa, Normalization Axiom New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
In this chapter you will find a collection of examples of phenomena where the randomness plays an essential role. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
maximal irregularity, axiomatic probability theory, independent random quantities, unbiased sample variance, equipartition property, fractal data, pinball table, quantile function, rotation map, approximate entropy, correlation dimension, tent map, frequency distribution function, shift map, bad items, random quantity, ergodic behavior, given significance level, pseudorandom number generators, invariant density Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Web Site, Stability of Fluctuations Law, John Wiley, Use Mathematica, Mathematical Aside, Monte Carlo, Stability of Frequencies Law, Law of Tested Averages, Mathematica Project, Countable Additivity Axiom, Mathematica Statistics, Cambridge University Press, Kolmogorov-Smirnov Theorem, Leaning Tower of Pisa, Normalization Axiom New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 49
books:
See all 49 books this book cites
1
book
cites this book:
- Distributions in the Physical and Engineering Sciences, Volume 1: Distributional and Fractal Calculus, Integral Transforms and Wavelets (Applied and Numerical Harmonic Analysis) by Alex Saichev on page 239, page 279, and Back Matter
- on page 391, page 441, and page 459
- How to Lie with Statistics by Darrell Huff on page 9, page 53, and page 389
- Statistics for Engineering Problem Solving (Electrical Engineering) by Stephen B. Vardeman on page 390, and page 459
- Secret and Urgent: The Story of Codes and Ciphers by Fletcher Pratt on page 110, and page 116
See all 49 books this book cites
- Classical and Spatial Stochastic Processes by Rinaldo B. Schinazi in Back Matter
Books on Related Topics
(learn more)
|
|
Tag this product(What's this?)Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items. |
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
