A Statistical Model for Estimation of Variability Variances from Noisy Data.

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Abstract:

A statistical model is developed which yields estimates of space and time variability variances atmospheric. Reasonable assumptions were made to extract the measurement error. A model of an experiment wherein measurements are taken simultaneously at two stations and at two fixed times is analyzed in detail. To obtain a solution for this case it was necessary to make assumptions of equality of certain covariances of space and time variability. The model was then extended to the case of N 2 temporal observations. In this case it was only necessary to assume a reasonable regularity among the random variables representing space variability. Methods for attacking the more general experiment are discussed briefly. Author

Author(s):
Duncan, Louis D.
Author Organization(s):
ATMOSPHERIC SCIENCES LAB WHITE SANDS MISSILE RANGE N MEX
Descriptive Note:
Research and development technical rept.,
Pagination:
0029

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
ECOM-5385
Task Number(s):
1T061102B53A17
Project Number(s):
DA-1-T-061102-B-53-A
Monitor Series:
5385
 Subject Terms
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*METEOROLOGICAL PHENOMENA, *STATISTICAL ANALYSIS, TEMPERATURE, WIND, DENSITY
Field(s)/Group(s):
Meteorology, Statistics and Probability
Keyword(s):
STANDARD DEVIATION, STATISTICAL DECISION THEORY, COVARIANCE
Report Date:
1971 May 01