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: Univariate Time Series in Geosciences
    sub title: Theory and Examples
  name:
    name part: Gilgen, Hans.
    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: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 718 p. 220 illus. online resource.
  abstract: The author introduces the statistical analysis of geophysical time series. The book includes also a chapter with an introduction to geostatistics, many examples and exercises which help the reader to work with typical problems. More complex derivations are provided in appendix-like supplements to each chapter. Readers are assumed to have a basic grounding in statistics and analysis. The reader is invited to learn actively from genuine geophysical data. He has to consider the applicability of statistical methods, to propose, estimate, evaluate and compare statistical models, and to draw conclusions. The author focuses on the conceptual understanding. The example time series and the exercises lead the reader to explore the meaning of concepts such as the estimation of the linear time series (AMRA) models or spectra. This book is also a guide to using "R" for the statistical analysis of time series. "R" is a powerful environment for the statistical and graphical analysis of data."R" is available under GNU conditions.
  table of contents: Stationary Stochastic Processes -- Linear Models for the Expectation Function -- Interpolation -- Linear Processes -- Fourier Transforms of Deterministic Functions -- Fourier Representation of a Stationary Stochastic Process -- Does a Periodogram Estimate a Spectrum? -- Estimators for a Continuous Spectrum -- Estimators for a Spectrum Having a Discrete Part.
  note: by Hans Gilgen.
  subject:
    topic: Earth sciences
  subject:
    topic: Geophysics
  subject:
    topic: Atmospheric sciences
  subject:
    topic: Computer simulation
  subject:
    topic: Physics
  subject:
    topic: Earth Sciences
  subject:
    topic: Geophysics/Geodesy
  subject:
    topic: Earth Sciences, general
  subject:
    topic: Atmospheric Sciences
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Numerical and Computational Physics
  subject:
    topic: Environmental Monitoring/Analysis
  classification: QC801-809
  classification: 550
  classification: 526.1
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783540309680
  identifier: http://dx.doi.org/10.1007/3-540-30968-3
  record info:
    record creation date: 100301
    record change date: 20151204145027.0
    record identifier: 978-3-540-30968-0