Two-sided Confidence Intervals

Two-Sided Confidence Intervals is a statistical interval estimation method that provides a range of values bounded by upper and lower confidence limits, within which the true population parameter is expected to lie with a specified level of confidence, distinguishing it from one-sided intervals by accounting for deviation in both directions from the point estimate.

238

Publications

21.4K

Citations

355

Authors

207

Institutions

Publications per year

2017–2026

13

Variants

Two-tailed Confidence Intervals

Authors

355

  1. WL
    Wei Liu

    University of Southampton, United Kingdom

    5 publications · 88 citations

    5

    h-index

  2. GS
    Guogen Shan

    University of Nevada, Las Vegas, United States

    4 publications · 135 citations

    4

    h-index

  3. XZ
    Xiao‐Hua Zhou

    University of Washington, United States

    4 publications · 131 citations

    4

    h-index

  4. FA
    Franklin A. Graybill

    Colorado State University, United States

    4 publications · 68 citations

    4

    h-index

  5. RG
    Robert G. Newcombe

    University of Wales, United Kingdom

    3 publications · 5.2K citations

    3

    h-index

1–5 of 355

Venues

  1. Journal of the American Statistical Association

    39 publications · 1.6K citations

    21

    h-index

  2. Biometrics

    11 publications · 1.9K citations

    11

    h-index

  3. Communication in Statistics- Theory and Methods

    10 publications · 217 citations

    10

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 10 publications · 350 citations

    10

    h-index

  5. 10

    h-index

1–5