Interval Parameter Estimation

Interval Parameter Estimation is a method of statistical inference within parameter estimation under uncertainty that characterizes an unknown parameter through a bounded interval, distinguished from point estimation by providing a range of plausible values rather than a single value.

515

Publications

40.7K

Citations

989

Authors

512

Institutions

Publications per year

2017–2026

99

Authors

989

  1. TR
    Tenko Raykov

    Michigan State University, United States

    17 publications · 1.4K citations

    13

    h-index

  2. NB
    N. Balakrishnan

    McMaster University, Canada

    11 publications · 485 citations

    10

    h-index

  3. BX
    Bing Xing Wang

    Zhejiang Gongshang University, China

    6 publications · 138 citations

    6

    h-index

  4. KK
    K. Krishnamoorthy

    University of Louisiana at Lafayette, United States

    6 publications · 269 citations

    6

    h-index

  5. GA
    George A. Marcoulides

    California State University, Fullerton, United States

    6 publications · 214 citations

    6

    h-index

1–5 of 989

Venues

  1. Statistics in Medicine

    28 publications · 4.4K citations

    18

    h-index

  2. Communication in Statistics- Theory and Methods

    25 publications · 819 citations

    17

    h-index

  3. Biometrics

    16 publications · 2.1K citations

    16

    h-index

  4. Journal of the American Statistical Association

    19 publications · 672 citations

    15

    h-index

  5. Technometrics

    17 publications · 1.1K citations

    15

    h-index

1–5