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: Lagrangian Probability Distributions
  name:
    name part: Consul, Prem C.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Famoye, Felix.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 352 p. online resource.
  abstract: Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production targets for optimum profits. This book presents a comprehensive, systematic treatment of the class of Lagrangian probability distributions, along with some of its families, their properties, and important applications. Key features: * Fills a gap in book literature * Examines many new Lagrangian probability distributions, their numerous families, general and specific properties, and applications to a variety of different fields * Presents background mathematical and statistical formulas for easy reference * Detailed bibliography and index * Exercises in many chapters Graduate students and researchers with a good knowledge of standard statistical techniques and an interest in Lagrangian probability distributions will find this work valuable. It may be used as a reference text or in courses and seminars on Distribution Theory and Lagrangian Distributions. Applied scientists and researchers in environmental statistics, reliability, sales management, epidemiology, operations research, optimization in manufacturing and marketing, and infectious disease control will benefit immensely from the various applications in the book.
  table of contents: Preliminary Information -- Lagrangian Probability Distributions -- Properties of General Lagrangian Distributions -- Quasi-Probability Models -- Some Urn Models -- Development of Models and Applications -- Modified Power Series Distributions -- Some Basic Lagrangian Distributions -- Generalized Poisson Distribution -- Generalized Negative Binomial Distribution -- Generalized Logarithmic Series Distribution -- Lagrangian Katz Distribution -- Random Walks and Jump Models -- Bivariate Lagrangian Distributions -- Multivariate Lagrangian Distributions -- Computer Generation of Lagrangian Variables.
  note: by Prem C. Consul, Felix Famoye.
  subject:
    topic: Mathematics
  subject:
    topic: Algebra
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Algebra
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics for Business/Economics/Mathematical Finance/Insurance
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780817644772
  identifier: http://dx.doi.org/10.1007/0-8176-4477-6
  record info:
    record creation date: 100301
    record change date: 20151204145116.0
    record identifier: 978-0-8176-4477-2