Autocorrelation Coefficient Estimation
Autocorrelation Coefficient Estimation is the statistical procedure that quantifies the degree of linear dependence between a time series and its lagged version over successive time intervals, serving as a fundamental method for analyzing temporal dependencies in autocorrelation analysis.
216
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17.8K
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472
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267
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2017–2026
27
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216
A modified Mann-Kendall trend test for autocorrelated data
Khaled H. Hamed, A. Ramachandra Rao · Journal of Hydrology · 1998 · 3.7K citations
ESTIMATORS FOR LONG-RANGE DEPENDENCE: AN EMPIRICAL STUDY
Murad S. Taqqu, Vadim Teverovsky, Walter Willinger · Fractals · 1995 · 1.2K citations
Elizabeth C. Weatherhead, Gregory C. Reinsel, George C. Tiao et al. · Journal of Geophysical Research Atmospheres · 1998 · 927 citations · Full text
Natural Sciences, Earth Sciences, Environmental Sciences +17
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University of Oxford
Oxford, United Kingdom
5 h-index
6 publications
273 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
5 publications
825 citations

University of Toronto
Toronto, Canada
4 h-index
6 publications
300 citations

Monash University
Melbourne, Australia
4 h-index
5 publications
313 citations
University of Southern California
Los Angeles, United States
4 h-index
9 publications
345 citations

University of Oslo
Oslo, Norway
3 h-index
3 publications
751 citations
Stony Brook University
Stony Brook, United States
3 h-index
3 publications
785 citations
Centre for Economic Policy Research
London, United Kingdom
3 h-index
3 publications
742 citations
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16 publications · 1.2K citations
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6 publications · 285 citations
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6 publications · 259 citations
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5 publications · 255 citations
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5 publications · 153 citations
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