Output Analysis

Output Analysis is the systematic examination and statistical evaluation of simulation-generated data to estimate the performance metrics of a stochastic system, distinguishing itself from other simulation analysis methods by focusing specifically on the interpretation and inference of model outputs after completion of simulation runs.

225

Publications

28.8K

Citations

440

Authors

220

Institutions

Publications per year

2017–2026

32

Authors

440

  1. PW
    Peter W. Glynn

    Stanford University, United States

    8 publications · 417 citations

    8

    h-index

  2. AM
    Averill M. Law

    University of Arizona, United States

    7 publications · 377 citations

    7

    h-index

  3. DG
    David Goldsman

    Georgia Institute of Technology, United States

    6 publications · 208 citations

    6

    h-index

  4. NM
    Natalie M. Steiger

    North Carolina State University, United States

    4 publications · 193 citations

    4

    h-index

  5. MK
    Marvin K. Nakayama

    New Jersey Institute of Technology, United States

    4 publications · 92 citations

    4

    h-index

1–5 of 440

Venues

  1. 9

    h-index

  2. ACM Transactions on Modeling and Computer Simulation

    TOMACS · 8 publications · 249 citations

    8

    h-index

  3. SIMULATION

    5 publications · 110 citations

    5

    h-index

  4. Operations Research

    5 publications · 382 citations

    5

    h-index

  5. Economic Systems Research

    4 publications · 156 citations

    4

    h-index

1–5