Feature-preserving interpolation and filtering of environmental time series

Environmental Modelling & Software ◽

10.1016/j.envsoft.2015.07.001 ◽

2015 ◽

Vol 72 ◽

pp. 71-76 ◽

Author(s):

Gregoire Mariethoz ◽

Niklas Linde ◽

Damien Jougnot ◽

Hassan Rezaee

Keyword(s):

Time Series ◽

Feature Preserving ◽

Environmental Time Series

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Hampton Roads Environmental Time Series Data

HydroShare Resources ◽

10.4211/hs.9e1b23607ac240588ba50d6b5b9a49b5 ◽

2018 ◽

Keyword(s):

Time Series ◽

Time Series Data ◽

Series Data ◽

Hampton Roads ◽

Environmental Time Series

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On case-crossover methods for environmental time series data

Environmetrics ◽

10.1002/env.809 ◽

2007 ◽

Vol 18 (2) ◽

pp. 157-171 ◽

Author(s):

Heather J. Whitaker ◽

Mounia N. Hocine ◽

C. Paddy Farrington

Keyword(s):

Time Series ◽

Time Series Data ◽

Series Data ◽

Case Crossover ◽

Environmental Time Series

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Recursive Estimation of System Parameter in Environmental Time Series Models

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-642-60126-2_39 ◽

1999 ◽

pp. 311-318 ◽

Author(s):

P. Mantovan ◽

A. Pastore ◽

S. Tonellato

Keyword(s):

Time Series ◽

System Parameter ◽

Recursive Estimation ◽

Time Series Models ◽

Environmental Time Series

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Unsupervised Fraud Detection in Environmental Time Series Data

New Developments in Unsupervised Outlier Detection ◽

10.1007/978-981-15-9519-6_10 ◽

2020 ◽

pp. 257-277

Author(s):

Xiaochun Wang ◽

Xiali Wang ◽

Mitch Wilkes

Keyword(s):

Time Series ◽

Time Series Data ◽

Fraud Detection ◽

Series Data ◽

Environmental Time Series

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Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction

Pattern Recognition. ICPR International Workshops and Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68780-9_3 ◽

2021 ◽

pp. 26-33

Author(s):

Francesco Camastra ◽

Vincenzo Capone ◽

Angelo Ciaramella ◽

Tony Christian Landi ◽

Angelo Riccio ◽

...

Keyword(s):

Machine Learning ◽

Time Series ◽

Missing Data ◽

Time Series Prediction ◽

Environmental Time Series

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Analyzing and comparing complex environmental time series using a cumulative sums approach

MethodsX ◽

10.1016/j.mex.2019.03.014 ◽

2019 ◽

Vol 6 ◽

pp. 779-787 ◽

Author(s):

Peter Regier ◽

Henry Briceño ◽

Joseph N. Boyer

Keyword(s):

Time Series ◽

Cumulative Sums ◽

Environmental Time Series

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Harmonic Analysis of Environmental Time Series with Missing Data or Irregular Sample Spacing

Environmental Science & Technology ◽

10.1021/es0700247 ◽

2007 ◽

Vol 41 (20) ◽

pp. 7030-7038 ◽

Author(s):

Shabnam Dilmaghani ◽

Isaac C. Henry ◽

Puripus Soonthornnonda ◽

Erik R. Christensen ◽

Ronald C. Henry

Keyword(s):

Time Series ◽

Missing Data ◽

Harmonic Analysis ◽

Sample Spacing ◽

Environmental Time Series

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Erratum to “Application of non-linear time-alignment and integration methods to environmental time series” [Trends Anal. Chem. 28 (2009) 373–391]

TrAC Trends in Analytical Chemistry ◽

10.1016/j.trac.2009.04.007 ◽

2009 ◽

Vol 28 (7) ◽

pp. 923

Author(s):

Karl Ropkins ◽

David C. Carslaw ◽

Paul S. Goodman ◽

James E. Tate

Keyword(s):

Time Series ◽

Linear Time ◽

Integration Methods ◽

Time Alignment ◽

Environmental Time Series

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CAN WE OVERCOME THE BIAS IN CASE-CROSSOVER ANALYSES OF ENVIRONMENTAL TIME SERIES?

Epidemiology ◽

10.1097/00001648-200007000-00197 ◽

2000 ◽

Vol 11 (4) ◽

pp. S98

Keyword(s):

Time Series ◽

Case Crossover ◽

Environmental Time Series

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Recursive smoothing of environmental time-series

Mathematics and Computers in Simulation ◽

10.1016/0378-4754(90)90240-j ◽

1990 ◽

Vol 32 (1-2) ◽

pp. 209-214

Author(s):

C.N. Ng ◽

P.C. Young

Keyword(s):

Time Series ◽

Environmental Time Series

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