Standard Deviation Based Estimation

Standard Deviation Based Estimation is a method for determining the Limit of Quantitation by deriving the minimum detectable concentration as a function of the standard deviation of blank or low-concentration sample measurements, typically expressed as a multiple of the standard deviation.

60

Publications

14K

Citations

109

Authors

58

Institutions

Publications per year

2017–2026

7

Authors

109

  1. SB
    Stephen B. Vardeman

    Iowa State University, United States

    3 publications · 55 citations

    3

    h-index

  2. AE
    A. E. Sarhan

    United States Department of the Army, United States

    2 publications · 147 citations

    2

    h-index

  3. EM
    Etan Markowitz

    University of Wisconsin–Madison, United States

    2 publications · 35 citations

    2

    h-index

  4. ES
    E. S. Pearson

    University College London, United Kingdom

    2 publications · 37 citations

    2

    h-index

  5. JG
    John Gurland

    University of Wisconsin–Madison, United States

    2 publications · 136 citations

    2

    h-index

1–5 of 109

Venues

  1. The American Statistician

    8 publications · 279 citations

    8

    h-index

  2. The Annals of Mathematical Statistics

    4 publications · 343 citations

    4

    h-index

  3. Biometrika

    3 publications · 318 citations

    3

    h-index

  4. Accreditation and Quality Assurance

    3 publications · 78 citations

    3

    h-index

  5. 3

    h-index

1–5