Finite Population Estimation

Finite Population Estimation is a statistical methodology that involves inferring the characteristics of a population of fixed and countable size based on sample data, distinguished from infinite population estimation by its assumption that the population under study is bounded and exhaustively enumerable.

520

Publications

28.2K

Citations

682

Authors

406

Institutions

Publications per year

2017–2026

81

Authors

682

  1. JS
    Javid Shabbir

    Quaid-i-Azam University, Pakistan

    37 publications · 1K citations

    19

    h-index

  2. HP
    Housila P. Singh

    Vikram University, India

    25 publications · 1K citations

    17

    h-index

  3. RM
    Richard M. Royall

    Johns Hopkins University, United States

    15 publications · 1.5K citations

    15

    h-index

  4. SG
    Sat Gupta

    University of North Carolina at Greensboro, United States

    12 publications · 459 citations

    12

    h-index

  5. CW
    Changbao Wu

    University of Waterloo, Canada

    11 publications · 852 citations

    11

    h-index

1–5 of 682

Venues

  1. Journal of the American Statistical Association

    79 publications · 6.5K citations

    38

    h-index

  2. Biometrika

    30 publications · 1.9K citations

    21

    h-index

  3. Communication in Statistics- Theory and Methods

    40 publications · 1.1K citations

    20

    h-index

  4. 16

    h-index

  5. The Annals of Mathematical Statistics

    14 publications · 1K citations

    13

    h-index

1–5