Covariance Analysis
Covariance Analysis is a statistical method used in orbit determination to quantify the uncertainty and correlation of estimated parameters by analyzing the structure of the covariance matrix, distinguishing it from other error analysis techniques through its focus on second-order moments and propagation of uncertainties under linear or nonlinear models.
1K
Publications
104.1K
Citations
2.9K
Authors
1.2K
Institutions
Publications per year
2017–2026
178
1K
Practical Issues in Structural Modeling
Peter M. Bentler, Chih-Ping Chou · Sociological Methods & Research · 1987 · 5.7K citations
Statistical Procedures for Agricultural Research.
G. H. Freeman, K. A. Gomez, Á. Gómez · Biometrics · 1985 · 3.1K citations
Agriculture, Agronomy, Soil Sciences +14
1–5 of 1K
2.9K
University of California, Los Angeles, United States
23 publications · 9.4K citations
20
h-index
10
h-index
6
h-index
6
h-index
6
h-index
1–5 of 2.9K
1.2K
University of California, Los Angeles
Los Angeles, United States
21 h-index
40 publications
16.1K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
41 publications
1.8K citations
The University of Texas at Austin
Austin, United States
12 h-index
16 publications
782 citations
University of Michigan
Ann Arbor, United States
12 h-index
21 publications
2.1K citations
Texas A&M University
College Station, United States
11 h-index
24 publications
1.1K citations

Cornell University
Ithaca, United States
11 h-index
16 publications
678 citations
Stanford University
Stanford, United States
10 h-index
14 publications
1.4K citations

Utah State University
Logan, United States
9 h-index
13 publications
638 citations
1–8 of 1.2K
Repository · 33 publications · 1.1K citations
19
h-index
20 publications · 955 citations
16
h-index
16 publications · 20.9K citations
15
h-index
MBR · 15 publications · 956 citations
13
h-index
12 publications · 510 citations
12
h-index
1–5