Instrumentation Error Detection

Instrumentation Error Detection is a methodological procedure within sample ratio mismatch detection that identifies discrepancies arising from flawed data collection mechanisms by distinguishing systematic measurement artifacts from genuine population-level variations.

23

Publications

695

Citations

94

Authors

36

Institutions

Publications per year

2017–2026

7

Authors

94

  1. IP
    Ishan Purohit

    International Institute for Applied Systems Analysis, Austria

    3 publications · 93 citations

    3

    h-index

  2. TP
    Tze Ping Loh

    National University Hospital, Singapore

    2 publications · 33 citations

    2

    h-index

  3. PP
    Pallav Purohit

    International Institute for Applied Systems Analysis, Austria

    2 publications · 51 citations

    2

    h-index

  4. MR
    Mark R. VanLandingham

    DEVCOM Army Research Laboratory, United States

    1 publications · 35 citations

    1

    h-index

  5. ED
    E. D. Lassen

    Oregon State University, United States

    1 publications · 42 citations

    1

    h-index

1–5 of 94

Venues

  1. IET Science Measurement & Technology

    1 publications · 21 citations

    1

    h-index

  2. American Journal of Veterinary Research

    AJVR · 1 publications · 42 citations

    1

    h-index

  3. 1

    h-index

  4. Ultramicroscopy

    1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5