Moment-generating Functions

A Moment-Generating Function is a real-valued function defined on a real domain that belongs to the class of analytical tools used in probability theory to characterize the distribution of a random variable by generating its moments through derivatives evaluated at zero.

1.3K

Publications

64.1K

Citations

1.9K

Authors

960

Institutions

Publications per year

2017–2026

176

Authors

1.9K

  1. GM
    Gauss M. Cordeiro

    Universidade Federal de Pernambuco, Brazil

    24 publications · 1.7K citations

    21

    h-index

  2. MA
    Mohamed‐Slim Alouini

    King Abdullah University of Science and Technology, Saudi Arabia

    12 publications · 942 citations

    12

    h-index

  3. ME
    Mohammed Elgarhy

    Cairo University, Egypt

    12 publications · 362 citations

    12

    h-index

  4. SN
    Saralees Nadarajah

    University of Manchester, United Kingdom

    14 publications · 620 citations

    12

    h-index

  5. NB
    N. Balakrishnan

    McMaster University, Canada

    11 publications · 499 citations

    11

    h-index

1–5 of 1.9K

Venues

  1. IEEE Transactions on Communications

    32 publications · 2.1K citations

    25

    h-index

  2. IEEE Transactions on Vehicular Technology

    37 publications · 2K citations

    24

    h-index

  3. Biometrika

    35 publications · 2.4K citations

    21

    h-index

  4. The Annals of Mathematical Statistics

    24 publications · 2.4K citations

    20

    h-index

  5. Communication in Statistics- Theory and Methods

    44 publications · 1.7K citations

    20

    h-index

1–5