Survey Sampling Inference

Survey Sampling Inference is a statistical methodology within inferential statistics that involves drawing conclusions about population parameters based on data collected from a systematically selected sample, distinguished by its reliance on probability-based sampling designs to ensure representativeness and valid generalization.

170

Publications

12.1K

Citations

325

Authors

157

Institutions

Publications per year

2017–2026

22

Authors

325

  1. AC
    Arijit Chaudhuri

    Indian Statistical Institute, India

    6 publications · 243 citations

    6

    h-index

  2. SS
    Sarjinder Singh

    Texas A&M University – Kingsville, United States

    6 publications · 351 citations

    6

    h-index

  3. JN
    J. N. K. Rao

    Carleton University, Canada

    4 publications · 154 citations

    4

    h-index

  4. KJ
    Krista J. Gile

    University of Massachusetts Amherst, United States

    4 publications · 638 citations

    4

    h-index

  5. WG
    William G. Madow

    SRI International, United States

    3 publications · 506 citations

    3

    h-index

1–5 of 325

Venues

  1. Journal of the American Statistical Association

    18 publications · 2.3K citations

    16

    h-index

  2. Journal of Statistical Planning and Inference

    11 publications · 397 citations

    11

    h-index

  3. Public Opinion Quarterly

    POQ · 8 publications · 399 citations

    8

    h-index

  4. International Statistical Review

    5 publications · 662 citations

    5

    h-index

  5. Technometrics

    4 publications · 460 citations

    4

    h-index

1–5