Modeling With Linear Functions

Modeling with Linear Functions is a mathematical modeling approach that uses linear functions—characterized by constant rates of change—to represent and analyze real-world phenomena, distinguishing itself from other modeling techniques by its reliance on first-degree polynomial relationships to describe proportional and additive behaviors.

232

Publications

19.2K

Citations

515

Authors

241

Institutions

Publications per year

2017–2026

36

Authors

515

  1. SS
    Scott Schaefer

    Texas A&M University, United States

    4 publications · 1.5K citations

    4

    h-index

  2. JW
    Joe Warren

    Rice University, United States

    4 publications · 1.5K citations

    4

    h-index

  3. CR
    C. Radhakrishna Rao

    Pennsylvania State University, United States

    3 publications · 292 citations

    3

    h-index

  4. TM
    Travis McPhail

    Rice University, United States

    2 publications · 832 citations

    2

    h-index

  5. JE
    James E. Grizzle

    University of North Carolina at Chapel Hill, United States

    2 publications · 1.5K citations

    2

    h-index

1–5 of 515

Venues

  1. Journal of the American Statistical Association

    7 publications · 1.3K citations

    7

    h-index

  2. The Annals of Statistics

    6 publications · 920 citations

    6

    h-index

  3. Biometrics

    5 publications · 1.7K citations

    5

    h-index

  4. Technometrics

    5 publications · 141 citations

    5

    h-index

  5. Choice Reviews Online

    CRO · 5 publications · 481 citations

    5

    h-index

1–5