rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Introductory Statistics and Random Phenomena
    sub title: Uncertainty, Complexity and Chaotic Behavior in Engineering and Science
  name:
    name part: Denker, Manfred.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Woyczynski, Wojbor.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVI, 509 p. 10 illus. online resource.
  abstract: 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 take…
  table of contents: Preface -- Introduction -- Notation and Abbreviations -- Part I: Descriptive Statistics - Compressing Data -- Why One Needs to Analyze Data -- Data Representation and Compression -- Analytics Representation of Random Experimental Data -- Part II: Modeling Uncertainty -- Algorithmic Complexity and Random Strings -- Statistical Independence and Kolmogorov's Probability Theory -- Chaos in Dynamical Systems: How Uncertainty Arises in Scientific and Engineering Phenomena -- Part III: Model Specification Design of Experiments -- General Principles of Statistical Analysis -- Statistical Inference for Normal Populations -- Analysis of Variance -- Appendix A: Uncertainty Principle in Signal Processing and Quantum Mechanics -- Appendix B: Fuzzy Systems and Logic -- Appendix C: A Critique of Pure Reason -- Appendix D: The Remarkable Bernoulli Family -- Uncertain Virtual Worlds Mathematica Packages -- Appendix F: Tables -- Index.
  note: by Manfred Denker, Wojbor Woyczynski.
  subject:
    topic: Mathematics
  subject:
    topic: Computer mathematics
  subject:
    topic: Statistics
  subject:
    topic: Mathematics
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  classification: QA71-90
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Modern Birkhäuser Classics
  identifier: 9783319661520
  identifier: http://dx.doi.org/10.1007/978-3-319-66152-0
  record info:
    record creation date: 170916
    record change date: 20170917211942.0
    record identifier: 978-3-319-66152-0