Nonparametric Response Surface Estimation

Nonparametric Response Surface Estimation is a response surface modeling technique that constructs empirical approximations of functional relationships without assuming a fixed parametric form, relying instead on flexible, data-driven structures to capture complex input-output dependencies.

8

Publications

278

Citations

28

Authors

19

Institutions

Publications per year

2017–2026

2

Variants

Non-parametric Response Surface Estimation

Authors

28

  1. CN
    Changjian Ni

    Chengdu University of Information Technology, China

    1 publications · 13 citations

    1

    h-index

  2. AM
    Adam Meyers

    New York University, United States

    1 publications · 16 citations

    1

    h-index

  3. ED
    Enrique Del Castillo

    Pennsylvania State University, United States

    1 publications · 16 citations

    1

    h-index

  4. PM
    Pan Ma

    Chengdu University of Information Technology, China

    1 publications · 13 citations

    1

    h-index

  5. MD
    M. Doblaré

    Universidad de Zaragoza, Spain

    1 publications · 11 citations

    1

    h-index

1–5 of 28

Venues

  1. 1

    h-index

  2. The Annals of Statistics

    1 publications · 140 citations

    1

    h-index

  3. Journal of Quality Technology

    1 publications · 47 citations

    1

    h-index

  4. Journal of Multivariate Analysis

    1 publications · 21 citations

    1

    h-index

  5. Journal of Modern Applied Statistical Methods

    JMASM · 1 publications · 20 citations

    1

    h-index

1–5