Hurdle Models

Hurdle Models is a statistical model that belongs to the class of two-part generalized linear models and is distinguished by its separate processes for modeling the occurrence of zero versus non-zero counts through a dual mechanism of a binary hurdle component and a truncated count component.

356

Publications

23.1K

Citations

1K

Authors

560

Institutions

Publications per year

2017–2026

128

Authors

1K

  1. AZ
    Achim Zeileis

    Universität Innsbruck, Austria

    8 publications · 3K citations

    8

    h-index

  2. ST
    Steven T. Yen

    University of Tennessee at Knoxville, United States

    7 publications · 196 citations

    7

    h-index

  3. RW
    Rainer Winkelmann

    University of Zurich, Switzerland

    6 publications · 394 citations

    6

    h-index

  4. BN
    Brian Neelon

    Medical University of South Carolina, United States

    4 publications · 342 citations

    4

    h-index

  5. WH
    William H. Greene

    New York University, United States

    4 publications · 262 citations

    4

    h-index

1–5 of 1K

Venues

  1. PLoS ONE

    10 publications · 485 citations

    10

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  2. Applied Economics

    10 publications · 440 citations

    10

    h-index

  3. Agricultural Economics

    8 publications · 520 citations

    8

    h-index

  4. Statistics in Medicine

    9 publications · 366 citations

    8

    h-index

  5. Health Economics

    7 publications · 416 citations

    7

    h-index

1–5