Importantly, the presence of temporal correlations in data can significantly impact the estimates of standard errors of the parameters that define the functions describing the time-variations in the data. est_noise is bundled with other programs that can help the user to clean up their data prior to analysis, and assess the quality of the estimates of noise from est_noise. est_noise has been used to analyze GPS and borehole strainmeter data, and it can be applied to other data types.
Author: | John Langbein |
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Usage: | Analyze time-series data to quantify temporal correlations and simultaneously estimate rates, offsets, and other functional dependencies. |
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Platform: | Unix or Mac. Requires a Fortran compiler |
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Interface: | Command line |
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Input: | Time series data |
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Output: | Measures of power-law noise, white noise, and more. Estimates of rates, offsets, and more, along with their standard errors. |
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Download | est_noise.tar.gz |
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