Statistical Methods of Probable Use for Understanding Remote Sensing Data.

This report outlines several new statistical approaches to data problems likely to be encountered when remote sensing methods are used. The methods described are robust regression analysis, smoothing, and modeling and estimation of ice pressure ridge characteristics.

Bibliographic Details
Main Author: Gaver,Donald P
Other Authors: NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Format: Text
Language:English
Published: 1979
Subjects:
Snow
Ice and Permafrost
Statistics and Probability
*REMOTE DETECTORS
*DATA REDUCTION
*STATISTICAL ANALYSIS
STOCHASTIC PROCESSES
PROBABILITY DISTRIBUTION FUNCTIONS
STATISTICAL DATA
ICE FORMATION
REGRESSION ANALYSIS
WEIGHTING FUNCTIONS
LEAST SQUARES METHOD
SCALING FACTOR
ITERATIONS
FITTING FUNCTIONS(MATHEMATICS)
POISSON DENSITY FUNCTIONS
RIDGES
Robust procedures
Biweight fitting functions
Ice
permafrost
Online Access:http://www.dtic.mil/docs/citations/ADA076908
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA076908
Description
Summary:This report outlines several new statistical approaches to data problems likely to be encountered when remote sensing methods are used. The methods described are robust regression analysis, smoothing, and modeling and estimation of ice pressure ridge characteristics.

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