First-order Error Propagation

First-Order Error Propagation is a method for estimating the uncertainty in a derived quantity by linearizing the functional relationship between input variables and the output using first-order partial derivatives, thereby approximating the propagated variance under the assumption of small, independent errors.

20

Publications

811

Citations

45

Authors

27

Institutions

Publications per year

2017–2026

0

Variants

First-order Uncertainty Propagation

Authors

45

  1. LS
    Larry S. Davis

    University of Maryland, College Park, United States

    1 publications · 16 citations

    1

    h-index

  2. MS
    Michaël Sicard

    Universitat Politècnica de Catalunya, Spain

    1 publications · 26 citations

    1

    h-index

  3. HI
    Hari Iyer

    Colorado State University, United States

    1 publications · 12 citations

    1

    h-index

  4. FR
    Francesc Rocadenbosch

    Universitat Politècnica de Catalunya, Spain

    1 publications · 26 citations

    1

    h-index

  5. DZ
    Dingfu Zhou

    Baidu (China), China

    1 publications · 15 citations

    1

    h-index

1–5 of 45

Venues

  1. The International Journal of Life Cycle Assessment

    LCA · 2 publications · 155 citations

    2

    h-index

  2. Metrologia

    1 publications · 12 citations

    1

    h-index

  3. Journal of Geographical Systems

    1 publications · 25 citations

    1

    h-index

  4. Applied Numerical Mathematics

    1 publications · 34 citations

    1

    h-index

  5. 1

    h-index

1–5