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: Time series cross-correlations and the USDA Feed Grains Database (1876-2015)
    sub title: U.S. barley and oats prices per bushel
  title info:
    title: Learn about time series cross-correlations in SPSS with data from the USDA Feed Grains Database (1876-2015)
  name:
    name part: Howard W. Odum Institute for Research in Social Science
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: statistics
  genre: Case studies.
  origin info:
    place:
      place term: enk
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: This dataset example introduces researchers to estimating cross-correlations between two time series variables. A cross-correlation examines the correlation between two time series variables contemporaneously and at various lagged values. Cross-correlations help researchers understand if two variables are related to each other and, if so, whether movement in one variable tends to precede or follow movement in the other. This example uses a subset of data from the United States Department of Agriculture (USDA) Database. It examines the cross-correlation between the average annual prices per bushel for barley and oats in the United States from 1876 to 2015. Understanding whether prices for two grains are correlated and, if so, whether one price leads or follows the other could help policy makers, farmers, and economists make better forecasts of future agricultural prices. The sample dataset used for this example has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (http://www.ers.usda.gov/data-products/feed-grains-database.aspx).Direct Prerequisites: Time Series ACFs and PACFs.
  target audience: specialized
  note: The Odum Institute.
  subject:
    topic: Time-series analysis
    topic: Data processing
    genre: Case studies
  subject:
    topic: Social sciences
    topic: Statistical methods
    genre: Case studies
  subject:
    topic: Oats industry
    geographic: United States
    topic: Statistical methods
    genre: Case studies
  subject:
    topic: Oats as feed
    geographic: United States
    topic: Statistical methods
    genre: Case studies
  subject:
    topic: Barley industry
    geographic: United States
    topic: Statistical methods
    genre: Case studies
  subject:
    topic: Barley as feed
    geographic: United States
    topic: Statistical methods
    genre: Case studies
  subject:
    topic: Feed industry
    geographic: United States
    topic: Statistical methods
    genre: Case studies
  subject:
    topic: Oats
    topic: Yields
    geographic: United States
    genre: Case studies
  subject:
    topic: Barley
    topic: Yields
    geographic: United States
    genre: Case studies
  subject:
    topic: Série chronologique
    topic: Informatique
    genre: Études de cas
  subject:
    topic: Sciences sociales
    topic: Méthodes statistiques
    genre: Études de cas
  subject:
    topic: Avoine
    topic: Industrie
    geographic: États-Unis
    topic: Méthodes statistiques
    genre: Études de cas
  subject:
    topic: Avoine (Aliment pour animaux)
    geographic: États-Unis
    topic: Méthodes statistiques
    genre: Études de cas
  subject:
    topic: Orge
    topic: Industrie
    geographic: États-Unis
    topic: Méthodes statistiques
    genre: Études de cas
  subject:
    topic: Orge (Aliment pour animaux)
    geographic: États-Unis
    topic: Méthodes statistiques
    genre: Études de cas
  subject:
    topic: Aliments pour animaux
    topic: Industrie
    geographic: États-Unis
    topic: Méthodes statistiques
    genre: Études de cas
  subject:
    topic: Avoine
    topic: Rendement
    geographic: États-Unis
    genre: Études de cas
  subject:
    topic: Orge
    topic: Rendement
    geographic: États-Unis
    genre: Études de cas
  subject:
    topic: Barley
    topic: Yields
  subject:
    topic: Oats
    topic: Yields
  subject:
    topic: Social sciences
    topic: Statistical methods
  subject:
    topic: Time-series analysis
    topic: Data processing
  subject:
    geographic: United States
  classification: QA280 .O35 2017
  classification: 519.55
  identifier: 9781473995765
  identifier: 1473995760
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UAB
    record creation date: 170109
    record change date: 20240923170333.6
    record identifier: in00005494754
    language of cataloging:
      language term: eng