Interval Parameter Estimation
Interval Parameter Estimation is a method of statistical inference within parameter estimation under uncertainty that characterizes an unknown parameter through a bounded interval, distinguished from point estimation by providing a range of plausible values rather than a single value.
515
Publications
40.7K
Citations
989
Authors
512
Institutions
Publications per year
2017–2026
99
515
1–5 of 515
989
13
h-index
10
h-index
6
h-index
6
h-index
California State University, Fullerton, United States
6 publications · 214 citations
6
h-index
1–5 of 989
512
Michigan State University
East Lansing, United States
12 h-index
19 publications
1.2K citations

McMaster University
Hamilton, Canada
12 h-index
22 publications
1.8K citations

Tamkang University
Taipei, Taiwan
10 h-index
18 publications
320 citations
University of Florida
Gainesville, United States
8 h-index
12 publications
1.4K citations
University of Washington
Seattle, United States
7 h-index
8 publications
409 citations
University of Louisiana at Lafayette
Lafayette, United States
7 h-index
19 publications
673 citations
National University of Singapore
Singapore, Singapore
7 h-index
10 publications
334 citations
Harvard University
Cambridge, United States
6 h-index
12 publications
1.4K citations
1–8 of 512
28 publications · 4.4K citations
18
h-index
25 publications · 819 citations
17
h-index
16 publications · 2.1K citations
16
h-index
19 publications · 672 citations
15
h-index
17 publications · 1.1K citations
15
h-index
1–5