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© 1998

Introductory Statistics and Random Phenomena

Uncertainty, Complexity and Chaotic Behavior in Engineering and Science

Textbook

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages N3-xxiv
  2. Descriptive Statistics-Compressing Data

    1. Front Matter
      Pages 1-1
    2. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 3-53
    3. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 55-117
    4. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 119-199
  3. Modeling Uncertainty

    1. Front Matter
      Pages 201-201
    2. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 203-242
    3. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 243-292
    4. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 293-364
  4. Model Specification-Design of Experiments

    1. Front Matter
      Pages 365-365
    2. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 367-391
    3. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 393-441
    4. Manfred Denker, Wojbor A. Woyczyński, Bernard Ycart
      Pages 443-459
  5. Back Matter
    Pages 461-509

About this book

Keywords

Descriptive statistics Fuzzy Probability theory Regression analysis Signal complexity construction dynamische Systeme mechanics modeling point process probability quantum mechanics statistical analysis statistics

Authors and affiliations

  1. 1.Georg-August-UniversitätGöttingenGermany
  2. 2.Case Western Reserve UniversityCleveland
  3. 3.Université Joseph FourierGrenobleFrance

Bibliographic information

Industry Sectors
Pharma
Automotive
Biotechnology
Electronics
IT & Software
Telecommunications
Aerospace
Oil, Gas & Geosciences
Engineering

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 become a classic."   —Mathematical Reviews