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The Akaike information criterion and its application to mixture proportion estimationThe theory and applications of the Akaike information criterion (AIC) Mixture model simulations and the application of the AIC to a large portion of a LANDSAT segment are presented.
Document ID
19830004228
Acquisition Source
Legacy CDMS
Document Type
Other - Other
Authors
Redner, R. A. (Tulsa Univ. OK, United States)
Kitagawa, G. (Tulsa Univ. OK, United States)
Coberly, W. A. (Tulsa Univ. OK, United States)
Date Acquired
August 11, 2013
Publication Date
June 1, 1982
Publication Information
Publication: Texas A and M Univ. Develop. of Advan. Acreage Estimation Methods
Subject Category
Earth Resources And Remote Sensing
Accession Number
83N12498
Funding Number(s)
CONTRACT_GRANT: NAS9-14689
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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