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Comparison of estimators of standard deviation for hydrologic time series.

Water Resources Research

By:
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Abstract

Unbiasing factors as a function of serial correlation, rho, and sample size, n for the sample standard deviation of a lag one autoregressive model were generated by random number simulation. Monte Carlo experiments were used to compare the performance of several alternative methods for estimating the standard deviation sigma of a lag one autoregressive model in terms of bias, root mean square error, probability of underestimation, and expected opportunity design loss. -from Authors

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Comparison of estimators of standard deviation for hydrologic time series.
Series title:
Water Resources Research
Volume
18
Issue:
5
Year Published:
1982
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Water Resources Research
First page:
1503
Last page:
1508
Number of Pages:
6