An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method

Journal of Applied Statistics ◽

10.1080/02664763.2012.740626 ◽

2013 ◽

Vol 40 (2) ◽

pp. 266-281 ◽

Author(s):

Yuanhua Feng

Keyword(s):

Time Series ◽

Seasonal Time Series

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Two-Stage Framework for Seasonal Time Series Forecasting

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9414118 ◽

2021 ◽

Author(s):

Qingyang Xu ◽

Qingsong Wen ◽

Liang Sun

Keyword(s):

Time Series ◽

Time Series Forecasting ◽

Two Stage ◽

Seasonal Time Series

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On consistent testing for serial correlation in seasonal time series models

Canadian Journal of Statistics ◽

10.1002/cjs.5550350201 ◽

2007 ◽

Vol 35 (2) ◽

pp. 193-213 ◽

Author(s):

Pierre Duchesne

Keyword(s):

Time Series ◽

Serial Correlation ◽

Time Series Models ◽

Seasonal Time Series

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An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series

Proceedings of the ACM/SPEC International Conference on Performance Engineering ◽

10.1145/3358960.3379123 ◽

2020 ◽

Author(s):

André Bauer ◽

Marwin Züfle ◽

Johannes Grohmann ◽

Norbert Schmitt ◽

Nikolas Herbst ◽

...

Keyword(s):

Time Series ◽

Seasonal Time Series ◽

Automated Forecasting

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Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596890 ◽

2010 ◽

Author(s):

Paulo Cortez

Keyword(s):

Neural Networks ◽

Time Series ◽

Sensitivity Analysis ◽

Support Vector Machines ◽

Time Lag ◽

Support Vector ◽

Seasonal Time Series ◽

Lag Selection ◽

Vector Machines

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Testing for Unit Roots in Seasonal Time Series

Journal of the American Statistical Association ◽

10.1080/01621459.1984.10478057 ◽

1984 ◽

Vol 79 (386) ◽

pp. 355-367 ◽

Author(s):

D. A. Dickey ◽

D. P. Hasza ◽

W. A. Fuller

Keyword(s):

Time Series ◽

Seasonal Time Series

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Fuzzy Transforms Applied in Seasonal Time Series Analysis

Fuzzy Transforms for Image Processing and Data Analysis ◽

10.1007/978-3-030-44613-0_10 ◽

2020 ◽

pp. 153-171

Author(s):

Ferdinando Di Martino ◽

Salvatore Sessa

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Series Analysis ◽

Seasonal Time Series

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Application of descriptive models to forecasting seasonal time series with gaps

Econometrics ◽

10.15611/ekt.2015.1.05 ◽

2015 ◽

Author(s):

Maciej Oesterreich

Keyword(s):

Time Series ◽

Seasonal Time Series ◽

Descriptive Models

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Fuzzy Semiparametric Support Vector Regression for Seasonal Time Series Analysis

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2009.16.2.335 ◽

2009 ◽

Vol 16 (2) ◽

pp. 335-348

Author(s):

Joo-Yong Shim ◽

Chang-Ha Hwang ◽

Dug-Hun Hong

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Support Vector Regression ◽

Support Vector ◽

Series Analysis ◽

Seasonal Time Series

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Research of combination of electricity GM (1,1) and seasonal time series forecasting model

Proceedings of the 4th International Conference on Information Technology and Management Innovation ◽

10.2991/icitmi-15.2015.45 ◽

2015 ◽

Author(s):

Yuping Wang ◽

Fangpeng Zheng ◽

Kelei He ◽

Chunxue Li

Keyword(s):

Time Series ◽

Time Series Forecasting ◽

Forecasting Model ◽

Seasonal Time Series

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Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods.

Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011) ◽

10.2991/eusflat.2011.7 ◽

2011 ◽

Author(s):

Martin Stepnicka ◽

Juan Peralta Donate ◽

Paulo Cortez ◽

Lenka Vavrikova ◽

German Gutierrez

Keyword(s):

Time Series ◽

Computational Intelligence ◽

Seasonal Time Series

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