Prediction Interval Estimation
Prediction Interval Estimation is a statistical inference method that quantifies the uncertainty associated with future individual observations by providing a range of values within which a new observation is expected to fall with a specified probability, distinguishing it from other interval estimation techniques by focusing on predictive accuracy rather than parameter estimation.
609
Publications
30.4K
Citations
1.8K
Authors
742
Institutions
Publications per year
2017–2026
226
Parents
609
1–5 of 609
1.8K
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h-index
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742

Deakin University
Burwood, Australia
15 h-index
47 publications
4.8K citations
General Electric (United States)
Boston, United States
11 h-index
14 publications
647 citations

North China Electric Power University
Beijing, China
11 h-index
37 publications
1.5K citations
Iowa State University
Ames, United States
10 h-index
14 publications
1.2K citations

McMaster University
Hamilton, Canada
9 h-index
15 publications
1.6K citations

Huazhong University of Science and Technology
Wuhan, China
9 h-index
30 publications
1.6K citations
University of Jordan
Amman, Jordan
8 h-index
8 publications
244 citations
University of Pennsylvania
Philadelphia, United States
8 h-index
12 publications
569 citations
1–8 of 742
41 publications · 1.7K citations
22
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23 publications · 1.3K citations
18
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14 publications · 576 citations
13
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Repository · 11 publications · 251 citations
11
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9 publications · 181 citations
9
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1–5