Expected Misstatement

Expected Misstatement is the projected amount of error or deviation estimated to exist in a population, serving as a key input in determining sample size and evaluating results within the framework of audit sampling.

6

Publications

344

Citations

11

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

11

  1. AA
    Anastasia A. Zakolyukina

    University of Chicago, United States

    2 publications · 116 citations

    2

    h-index

  2. MC
    Malcolm C. Easton

    IBM Research - Thomas J. Watson Research Center, United States

    1 publications · 11 citations

    1

    h-index

  3. LE
    Laura E. Simmons

    Imperial College London, United Kingdom

    1 publications · 18 citations

    1

    h-index

  4. JE
    James E. Hunton

    Bentley University, United States

    1 publications · 173 citations

    1

    h-index

  5. JC
    Jean C. Bedard

    Bentley University, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 11

Venues

  1. Auditing A Journal of Practice & Theory

    AJPT · 2 publications · 44 citations

    2

    h-index

  2. Journal of Accounting Research

    JAR · 2 publications · 273 citations

    2

    h-index

  3. SSRN Electronic Journal

    Repository · 1 publications · 16 citations

    1

    h-index

  4. Journal of the ACM

    JACM · 1 publications · 11 citations

    1

    h-index

1–4