Prediction Error Assessment

Prediction Error Assessment is a methodological procedure in analytical chemistry that quantifies the discrepancy between predicted and reference values to evaluate the accuracy and reliability of spectroscopic models within the framework of estimation validation.

496

Publications

41.5K

Citations

1.6K

Authors

670

Institutions

Publications per year

2017–2026

117

Authors

1.6K

  1. PC
    Peter C. Jurs

    Pennsylvania State University, United States

    7 publications · 465 citations

    7

    h-index

  2. NM
    Nicolaas M. Faber

    Radboud University Nijmegen, Netherlands

    4 publications · 222 citations

    4

    h-index

  3. PP
    Pascal Pernot

    Centre National de la Recherche Scientifique, France

    4 publications · 182 citations

    4

    h-index

  4. TK
    Tadashi Kondo

    National Cancer Research Institute, United Kingdom

    3 publications · 211 citations

    3

    h-index

  5. PM
    Paul M.J. Van den Hof

    Delft University of Technology, Netherlands

    3 publications · 265 citations

    3

    h-index

1–5 of 1.6K

Venues

  1. Analytical Chemistry

    24 publications · 1.8K citations

    22

    h-index

  2. Journal of Chemometrics

    13 publications · 1.3K citations

    13

    h-index

  3. Applied Spectroscopy

    13 publications · 1.7K citations

    13

    h-index

  4. Chemometrics and Intelligent Laboratory Systems

    10 publications · 1.4K citations

    10

    h-index

  5. Journal of Chemical Education

    10 publications · 162 citations

    10

    h-index

1–5