Multivariate Order Statistics

Multivariate Order Statistics is a statistical framework that extends the concept of order statistics to multivariate data by defining ordered arrangements of vectors based on multivariate ranking criteria, thereby enabling the analysis of joint distributions and extremal properties in higher dimensions.

251

Publications

11.9K

Citations

306

Authors

193

Institutions

Publications per year

2017–2026

22

Authors

306

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    28 publications · 1.4K citations

    18

    h-index

  2. SC
    Subhash C. Kochar

    Indian Statistical Institute, India

    9 publications · 267 citations

    9

    h-index

  3. HN
    Haikady N. Nagaraja

    The Ohio State University, United States

    8 publications · 153 citations

    8

    h-index

  4. HM
    H. M. Barakat

    Zagazig University, Egypt

    8 publications · 180 citations

    8

    h-index

  5. MA
    Mohammad Ahsanullah

    Rider University, United States

    7 publications · 251 citations

    7

    h-index

1–5 of 306

Venues

  1. Journal of Multivariate Analysis

    16 publications · 678 citations

    14

    h-index

  2. Journal of Statistical Planning and Inference

    17 publications · 404 citations

    14

    h-index

  3. Statistics & Probability Letters

    20 publications · 411 citations

    13

    h-index

  4. 13

    h-index

  5. Communication in Statistics- Theory and Methods

    15 publications · 273 citations

    11

    h-index

1–5