Unit Nonresponse Modeling

Unit Nonresponse Modeling is a statistical methodology within the field of survey inference that specifically addresses the bias and efficiency issues arising from missing data due to sampled units failing to respond, by modeling the response mechanism at the unit level to adjust estimates in small area estimation contexts.

114

Publications

7K

Citations

238

Authors

133

Institutions

Publications per year

2017–2026

12

Authors

238

  1. RJ
    Roderick J. A. Little

    University of Michigan, United States

    4 publications · 409 citations

    4

    h-index

  2. TY
    Ting Yan

    University of Michigan, United States

    4 publications · 352 citations

    4

    h-index

  3. JN
    J. N. K. Rao

    Carleton University, Canada

    4 publications · 262 citations

    4

    h-index

  4. AP
    Andy Peytchev

    RTI International, United States

    4 publications · 226 citations

    4

    h-index

  5. PS
    Phillip S. Kott

    National Agricultural Statistics Service, United States

    3 publications · 293 citations

    3

    h-index

1–5 of 238

Venues

  1. 9

    h-index

  2. Public Opinion Quarterly

    POQ · 6 publications · 1.4K citations

    6

    h-index

  3. 5

    h-index

  4. Journal of Official Statistics

    JOS · 5 publications · 207 citations

    5

    h-index

  5. SSRN Electronic Journal

    Repository · 4 publications · 87 citations

    4

    h-index

1–5