Statistical examination of climatological data relevant to global temperature variation. Final report | Zendy

H. L. Gray | Zendy; Richard F. Gunst | Zendy; Wayne A. Woodward | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Statistical examination of climatological data relevant to global temperature variation. Final report

Author(s) -

H. L. Gray,

Richard F. Gunst,

Wayne A. Woodward

Publication year - 1998

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/638187

Subject(s) - autoregressive model , climatology , global temperature , environmental science , variation (astronomy) , statistical model , series (stratigraphy) , meteorology , econometrics , global warming , statistics , climate change , mathematics , geography , geology , paleontology , oceanography , physics , astrophysics

Advanced statistical procedures have been developed to analyze and model climatological data. Research has focused on the following areas: testing the global temperature series for trend; the effect of initial conditions on autoregressive models for global temperature data; long memory modeling of the carbon dioxide data; and spatial modeling of global temperature data

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research