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: Basics of Modern Mathematical Statistics
    sub title: Exercises and Solutions
  name:
    name part: Härdle, Wolfgang Karl.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Spokoiny, Vladimir.
    role:
      role term: author.
  name:
    name part: Panov, Vladimir.
    role:
      role term: author.
  name:
    name part: Wang, Weining.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXV, 185 p. 123 illus., 81 illus. in color. online resource.
  abstract: The complexity of today’s statistical data calls for modern mathematical tools. Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect, since mastering the tools makes them applicable. Our book of exercises and solutions offers a wide range of applications and numerical solutions based on R. In modern mathematical statistics, the purpose is to provide statistics students with a number of basic exercises and also an understanding of how the theory can be applied to real-world problems. The application aspect is also quite important, as most previous exercise books are mostly on theoretical derivations. Also we add some problems from topics often encountered in recent research papers. The book was written for statistics students with one or two years of coursework in mathematical statistics and probability, professors who hold courses in mathematical statistics, and researchers in other fields who would like to do some exercises on math statistics.
  table of contents: Basics -- Parameter Estimation for an i.i.d. Model -- Parameter Estimation for a Regression Model -- Estimation in Linear Models -- Bayes Estimation -- Testing a Statistical Hypothesis -- Testing in Linear Models -- Some Other Testing Methods. .
  note: by Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics, general
  subject:
    topic: Statistics for Business/Economics/Mathematical Finance/Insurance
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Texts in Statistics
  identifier: 9783642368509
  identifier: http://dx.doi.org/10.1007/978-3-642-36850-9
  record info:
    record creation date: 131106
    record change date: 20151103125125.0
    record identifier: 978-3-642-36850-9