Data Detrending
Data Detrending is a preprocessing technique in hydrologic time series analysis that belongs to the class of data normalization methods, specifically distinguished by its purpose of removing systematic non-stationary components, such as long-term trends, to facilitate the analysis of underlying stochastic processes.
214
Publications
25.3K
Citations
808
Authors
462
Institutions
Publications per year
2017–2026
57
214
Detrending, stylized facts and the business cycle
Andrew Harvey, Albert Jaeger · Journal of Applied Econometrics · 1993 · 1.2K citations
1–5 of 214
808
8
h-index
6
h-index
5
h-index
5
h-index
5
h-index
1–5 of 808
462

Centre National de la Recherche Scientifique
Paris, France
11 h-index
65 publications
3.6K citations
Boston University
Boston, United States
8 h-index
18 publications
12.5K citations
Beijing Jiaotong University
Beijing, China
7 h-index
19 publications
684 citations
University of Geneva
Geneva, Switzerland
6 h-index
31 publications
1.8K citations
The University of Osaka
Osaka, Japan
6 h-index
13 publications
329 citations
East China University of Science and Technology
Shanghai, China
6 h-index
17 publications
3K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
10 publications
245 citations

University of Exeter
Exeter, United Kingdom
5 h-index
10 publications
287 citations
1–8 of 462
25 publications · 5.2K citations
20
h-index
PRE · 7 publications · 1.3K citations
7
h-index
4 publications · 130 citations
4
h-index
Repository · 4 publications · 75 citations
4
h-index
3 publications · 76 citations
3
h-index
1–5