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: Scenario Logic and Probabilistic Management of Risk in Business and Engineering
  name:
    name part: Solojentsev, Evgueni D.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXX, 450 p. 118 illus. online resource.
  abstract: The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It covers the methodological and theoretical basis of risk management at the design, test, and operation stages of economic, banking, and engineering systems with groups of incompatible events (GIE). It considers the risk LP-models in classification, investment, management of companies, bribes and corruption, analysis of risk and efficiency of social and economical processes, and management of development. Key features of this Second Edition: -Five new chapters -Treatment of the basic principles of the modern risk LP theory (the LP-calculus, the LP-methods and the risk LP-theory with GIE) using uniform methodology and terminology with a practical orientation towards both engineering and economics, for the first time in book form -Clear definitions and notations, revised sections and chapters, an extended list of references, and a new subject index -More than a hundred illustrations and tables which motivate the presentation Specialists in risk management in economics, banking and business, as well as graduates and post-graduates in economics and engineering, will benefit from this book.
  table of contents: Management and Risk -- The Human Being And Risks -- Principles of Risk Management in Design -- Risk Management at Debugging Tests -- Risk Management In Operation On Basis Of Monitoring -- Risk Management on Dangerous Plant -- Transparency of Methods for Estimation -- Bases of Logic and Probabilistic Calculus -- Lp Modeling And Analysis Of Risk In -- Automated Structural and Logical Modeling -- Logical And Probabilistic Theory Of Risk With Groups Of Incompatible Events -- Identification of Risk Lp-Models with Groups of Incompatible Events -- Lp Analysis of Risk in Systems with Groups of Incompatible Events -- Software For Assessment Analysis And Management Of Risk -- Lp Model of Credit Risk for Natural -- Lp Model of Credit Risk for Juridical -- Scenario Logic And Probabilistic Risk Models Of Bribes -- Lp Model of Security Portfolio Risk -- Risk Lp Models of Quality and Efficiency -- Lp Models Of Company Management -- Lp Models of Frauds and Interaction of Companies -- The Formal Lp Theory Of Non Success Risk -- Training Course Modeling Estimation and Analysis of Risks in Economics.
  note: by Evgueni D. Solojentsev.
  subject:
    topic: Business
  subject:
    topic: Management science
  subject:
    topic: Economics, Mathematical
  subject:
    topic: Mathematical logic
  subject:
    topic: Probabilities
  subject:
    topic: Econometrics
  subject:
    topic: Business and Management
  subject:
    topic: Business and Management, general
  subject:
    topic: Quantitative Finance
  subject:
    topic: Econometrics
  subject:
    topic: Mathematical Logic and Foundations
  subject:
    topic: Probability Theory and Stochastic Processes
  classification: HF4999.2-6182
  classification: HD28-70
  classification: 650
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Optimization and Its Applications, 20
  identifier: 9780387779461
  identifier: http://dx.doi.org/10.1007/978-0-387-77946-1
  record info:
    record creation date: 110402
    record change date: 20151204184144.0
    record identifier: 978-0-387-77946-1