Exponential Weighted Moving Average

Exponential Weighted Moving Average is a statistical smoothing technique that belongs to the class of moving average methods, distinguished by assigning exponentially decreasing weights to past observations, thereby emphasizing recent data points in the computation of the time series average.

329

Publications

23.3K

Citations

657

Authors

357

Institutions

Publications per year

2017–2026

114

Variants

Ewma

Authors

657

  1. PC
    Philippe Castagliola

    Nantes Université, France

    13 publications · 409 citations

    13

    h-index

  2. MA
    Muhammad Aslam

    King Abdulaziz University, Saudi Arabia

    11 publications · 394 citations

    11

    h-index

  3. AH
    Abdul Haq

    Quaid-i-Azam University, Pakistan

    11 publications · 361 citations

    11

    h-index

  4. MB
    Michael B. C. Khoo

    Universiti Sains Malaysia, Malaysia

    8 publications · 394 citations

    8

    h-index

  5. MN
    Muhammad Noor‐ul‐Amin

    COMSATS University Islamabad, Pakistan

    8 publications · 207 citations

    8

    h-index

1–5 of 657

Venues

  1. 20

    h-index

  2. Journal of Quality Technology

    21 publications · 1.9K citations

    20

    h-index

  3. Technometrics

    21 publications · 5.5K citations

    19

    h-index

  4. 14

    h-index

  5. IIE Transactions

    13 publications · 621 citations

    12

    h-index

1–5