Interval Estimation

Interval Estimation is a statistical method that belongs to the class of estimation techniques and is distinguished by its specification of a range of plausible values for an unknown parameter, derived from sample data and associated with a specified level of confidence.

1.3K

Publications

103.5K

Citations

2.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

275

Authors

2.5K

  1. TR
    Tenko Raykov

    Michigan State University, United States

    24 publications · 1.9K citations

    15

    h-index

  2. NB
    N. Balakrishnan

    McMaster University, Canada

    17 publications · 1K citations

    14

    h-index

  3. ZW
    Zhenhua Wang

    Harbin Institute of Technology, China

    16 publications · 734 citations

    14

    h-index

  4. TR
    Tarek Raïssi

    Conservatoire National des Arts et Métiers, France

    15 publications · 819 citations

    13

    h-index

  5. KK
    K. Krishnamoorthy

    University of Louisiana at Lafayette, United States

    11 publications · 399 citations

    11

    h-index

1–5 of 2.5K

Venues

  1. Journal of the American Statistical Association

    78 publications · 13.7K citations

    32

    h-index

  2. Biometrics

    38 publications · 3.8K citations

    29

    h-index

  3. Statistics in Medicine

    53 publications · 5.4K citations

    29

    h-index

  4. Biometrika

    34 publications · 3.3K citations

    25

    h-index

  5. Technometrics

    35 publications · 3.7K citations

    21

    h-index

1–5