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: Introduction to Probability and Statistics for Engineers
  name:
    name part: Holický, Milan.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 181 p. online resource.
  abstract: The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.
  table of contents: Foreword -- 1 Introduction -- 2.Basic Concepts of Probability -- 3.Evaluation of Statistical Data.- 4.Distributions of Random Variables -- 5.Selected Models of Discrete Variables -- 6.Selected Models of Continuous Variables -- 7.Functions of Random Variables -- 8.Estimations of the Population Parameters -- 9.Fractiles of Random Variables -- 10.Testing of Statistical Hypotheses -- 11.Correlation and Regression -- 12.Random Functions -- Appendixes. .
  note: by Milan Holický.
  subject:
    topic: Statistics
  subject:
    topic: Probabilities
  subject:
    topic: Engineering
  subject:
    topic: Engineering design
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Engineering Design
  subject:
    topic: Engineering, general
  subject:
    topic: Probability Theory and Stochastic Processes
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642383007
  identifier: http://dx.doi.org/10.1007/978-3-642-38300-7
  record info:
    record creation date: 130802
    record change date: 20151218141958.0
    record identifier: 978-3-642-38300-7