Nonlinear Trend Modeling

Nonlinear Trend Modeling is a statistical modeling approach that captures complex, non-straight-line patterns in time-ordered data by specifying a nonlinear functional relationship between the dependent variable and time.

130

Publications

9.3K

Citations

338

Authors

219

Institutions

Publications per year

2017–2026

41

Authors

338

  1. JC
    Juan Carlos Cuestas

    University of Sheffield, United Kingdom

    4 publications · 155 citations

    4

    h-index

  2. YC
    Yaning Chen

    Xinjiang Institute of Ecology and Geography, China

    3 publications · 161 citations

    3

    h-index

  3. TO
    Tolga Omay

    Çankaya University, Türkiye

    2 publications · 50 citations

    2

    h-index

  4. DG
    Dean Garratt

    Manchester Metropolitan University, United Kingdom

    2 publications · 64 citations

    2

    h-index

  5. RP
    R. Peter Richards

    Heidelberg University, United States

    2 publications · 116 citations

    2

    h-index

1–5 of 338

Venues

  1. Journal of Econometrics

    3 publications · 568 citations

    3

    h-index

  2. International Journal of Climatology

    3 publications · 185 citations

    3

    h-index

  3. Applied Economics Letters

    3 publications · 91 citations

    3

    h-index

  4. Applied Economics

    3 publications · 81 citations

    3

    h-index

  5. 3

    h-index

1–5