NIST · ИТ · 8ba6aadd7b8c5ba88a19
Allan Variance of Time Series Models of Measurement Data
The uncertainty of the mean of autocorrelated measurements from a stationary process has been discussed in the literature. However, when the measurements are from a non-stationary process, how to assess their uncertainty remains unresolved. Allan variance
NIST · ИТОфициальный источник · 2008-09-22
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"title_en": "Allan Variance of Time Series Models of Measurement Data",
"designation": "",
"series": "",
"status": "",
"date": "2008-09-22",
"date_original": "September 22, 2008",
"url": "https://www.nist.gov/publications/allan-variance-time-series-models-measurement-data",
"source": "NIST Publications",
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"authors_en": "Nien F. Zhang",
"abstract_excerpt_en": "The uncertainty of the mean of autocorrelated measurements from a stationary process has been discussed in the literature. However, when the measurements are from a non-stationary process, how to assess their uncertainty remains unresolved. Allan variance",
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{
"title_en": "Allan Variance of Time Series Models of Measurement Data",
"designation": "",
"series": "",
"status": "",
"date": "2008-09-22",
"date_original": "September 22, 2008",
"url": "https://www.nist.gov/publications/allan-variance-time-series-models-measurement-data",
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"authors_en": "Nien F. Zhang",
"abstract_excerpt_en": "The uncertainty of the mean of autocorrelated measurements from a stationary process has been discussed in the literature. However, when the measurements are from a non-stationary process, how to assess their uncertainty remains unresolved. Allan variance"
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