Alias Structure

Alias Structure is a probabilistic dependency framework in experimental design that specifies the confounding relationships between factorial effects by identifying which effects are indistinguishable from one another due to the fractional replication of treatment combinations.

119

Publications

11.3K

Citations

260

Authors

123

Institutions

Publications per year

2017–2026

12

Variants

Confounding Pattern

Authors

260

  1. JA
    Jonathan Aldrich

    Carnegie Mellon University, United States

    6 publications · 389 citations

    6

    h-index

  2. NS
    Neil Spring

    University of Maryland, College Park, United States

    5 publications · 3K citations

    5

    h-index

  3. DW
    David Wetherall

    University of Washington, United States

    5 publications · 3K citations

    5

    h-index

  4. AA
    Alex Aiken

    Stanford University, United States

    4 publications · 490 citations

    4

    h-index

  5. MS
    Monica S. Lam

    Stanford University, United States

    4 publications · 1.1K citations

    4

    h-index

1–5 of 260

Venues

  1. ACM SIGPLAN Notices

    9 publications · 845 citations

    9

    h-index

  2. 5

    h-index

  3. Science of Computer Programming

    3 publications · 201 citations

    3

    h-index

  4. Technometrics

    3 publications · 116 citations

    3

    h-index

  5. 3

    h-index

1–5