Wald Confidence Interval

The Wald Confidence Interval is a type of confidence interval estimator in statistical inference that uses the asymptotic normality of the maximum likelihood estimator, distinguished by its reliance on the estimated parameter and its standard error to construct intervals based on the Wald test statistic.

209

Publications

14K

Citations

536

Authors

331

Institutions

Publications per year

2017–2026

55

Variants

Wald Interval

Authors

536

  1. KL
    Kung‐Jong Lui

    San Diego State University, United States

    4 publications · 60 citations

    4

    h-index

  2. DO
    Danilo Orlando

    University Niccolò Cusano, Italy

    4 publications · 233 citations

    4

    h-index

  3. CR
    Christophe Rault

    Université d'Orléans, France

    4 publications · 189 citations

    4

    h-index

  4. WL
    Weijian Liu

    Wuhan Branch of the National Science Library, China

    4 publications · 212 citations

    4

    h-index

  5. CH
    Chengpeng Hao

    Chinese Academy of Sciences, China

    4 publications · 184 citations

    4

    h-index

1–5 of 536

Venues

  1. Statistics in Medicine

    13 publications · 2.9K citations

    12

    h-index

  2. SSRN Electronic Journal

    Repository · 6 publications · 220 citations

    6

    h-index

  3. Journal of Statistical Computation and Simulation

    JSCS · 5 publications · 102 citations

    5

    h-index

  4. Signal Processing

    5 publications · 257 citations

    5

    h-index

  5. Econometrica

    5 publications · 2.1K citations

    5

    h-index

1–5