Seasonal adjustment for monthly time series based on daily time series-Reference-Cited by-同舟云学术

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Seasonal adjustment for monthly time series based on daily time series

Published:2023-10-31 Issue:5 Volume:36 Page:457-471
ISSN:1225-066X
Container-title:Korean Journal of Applied Statistics
language:en
Short-container-title:KJAS

Author:

Lee Geung-Hee¹

Affiliation:

1. Department of Data Science and Statistics, Korea National Open University

Funder

Korea National Open University

Publisher

The Korean Statistical Society

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

https://pdf.medrang.co.kr/KJAS/2023/036/KJAS036-05-457.pdf

Reference8 articles.

1. Modeling Time Series with Calendar Variation

2. Cleveland RB, Cleveland WS, McRae JE, and Terpenning I (1990). STL: A seasonal-trend decomposition procedure based on loess, Journal of Official Statistics, 6, 3-73.

3. Automatic Time Series Forecasting: TheforecastPackage forR

4. Lee GH (1998). X-12 ARIMA seasonal adjustment in Korean economic time series, Economic Analysis, 4, 205-242.

5. Lee GH and Jang K (2022). Seasonal adjustment of Korean daily data, Economic Analysis, 2, 70-114.

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