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

Authors

2.9K

  1. PM
    Peter M. Bentler

    University of California, Los Angeles, United States

    23 publications · 9.4K citations

    20

    h-index

  2. KY
    Ke‐Hai Yuan

    University of Notre Dame, United States

    10 publications · 797 citations

    10

    h-index

  3. SV
    S. V. Suryanarayana

    Bhabha Atomic Research Centre, India

    6 publications · 127 citations

    6

    h-index

  4. MJ
    Mathieu Joerger

    Illinois Institute of Technology, United States

    6 publications · 111 citations

    6

    h-index

  5. AJ
    Angelo J. Kinicki

    Arizona State University, United States

    6 publications · 763 citations

    6

    h-index

1–5 of 2.9K

Venues

  1. PubMed

    Repository · 33 publications · 1.1K citations

    19

    h-index

  2. Journal of Guidance Control and Dynamics

    20 publications · 955 citations

    16

    h-index

  3. Journal of the American Statistical Association

    16 publications · 20.9K citations

    15

    h-index

  4. Multivariate Behavioral Research

    MBR · 15 publications · 956 citations

    13

    h-index

  5. Journal of Climate

    12 publications · 510 citations

    12

    h-index

1–5