Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
Estimation of a rare sensitive attribute in a stratified sample using Poisson distribution
Gi Sung Lee
, Daiho Uhm
,
Jong Min Kim
Statistics (Morris)
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Estimation of a rare sensitive attribute in a stratified sample using Poisson distribution'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Attribute-based
20%
Distribution Statistics
20%
Models Theoretical
20%
Optimum Allocation
20%
Poisson Distribution
100%
Proportional Allocation
40%
Randomized Response
60%
Rare Sensitive Attribute
100%
Rare Unrelated Attribute
40%
Relative Efficiency
20%
Sampling Scheme
20%
Statist
20%
Stratified Double Sampling
60%
Stratified Group
20%
Stratified Sampling
100%
Unrelated Questions
40%
Mathematics
Optimum Allocation
25%
Poisson Distribution
100%
Probability Theory
25%
Proportional Allocation
50%
Randomized Response
75%
Relative Efficiency
25%
Response Model
75%
Sampling Scheme
25%
Stratified Sample
100%
Stratified Sampling
100%
Variance
100%