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Completeness and unbiased estimation for sum–quota sampling
Walter K. Kremers
Quantitative Health Sciences
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Dive into the research topics of 'Completeness and unbiased estimation for sum–quota sampling'. Together they form a unique fingerprint.
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Mathematics
Unbiased Estimation
100%
Completeness
65%
Costs
56%
Unit
35%
Uniformly Minimum Variance Unbiased Estimator
23%
Continue
15%
Vary
14%
Sample Size
13%
Random variable
12%
Observation
11%
Population parameter
10%
Sufficient Statistics
10%
Estimator
10%
Experimental design
9%
Sufficiency
9%
Finite Population
9%
Adjustment
8%
Character
6%
Methodology
6%
Non-negative
5%
Unknown
5%
Business & Economics
Sampling
81%
Completeness
80%
Costs
29%
Estimator
27%
Sample Size
23%
Minimum Variance
21%
Random Variables
17%
Sufficient Statistics
12%
Experimental Design
10%
Unit Cost
9%
Data Collection
7%
Methodology
4%