Category:Sampling (statistics)

• Sampling (statistics) (computing)

A

• Acceptable quality limit (computing)
• Acceptance sampling (computing)
• Acquiescence bias (computing)

B

• Balanced repeated replication (computing)
• Sampling bias (computing)

C

• Census (computing)
• Civic lottery (computing)
• Cohen's h (computing)
• Coin flipping (computing)
• Correct sampling (computing)
• Coverage error (computing)

D

• Drawing straws (computing)

E

• Eeny, meeny, miny, moe (social)
• Effective sample size (computing)
• Empirical evidence (computing)
• Expander walk sampling (computing)

F

• Failure bias (computing)
• Flow sampling (computing)

G

• Gy's sampling theory (computing)

H

• Medicine:Healthy user bias
• Heckman correction (computing)
• Horsengoggle (computing)
• Horvitz–Thompson estimator (computing)

I

• Imperfect induction (computing)
• Infrastructure bias (computing)
• Inherent bias (computing)
• Item tree analysis (computing)

J

• Judgment sample (computing)

K

• Kleroterion (computing)

L

• Lot quality assurance sampling (computing)
• Lottery machine (computing)

M

• Margin of error (computing)
• Measuring attractiveness by a categorical-based evaluation technique (MACBETH) (computing)
• Microdata (statistics) (computing)
• Multi-attribute global inference of quality (computing)

N

• NQuery Sample Size Software (software)

O

• Odds and evens (hand game) (software)
• Opinion poll (computing)
• Oversampling and undersampling in data analysis (computing)

P

• Prior-independent mechanism (computing)

R

• Recall bias (computing)
• Replication (statistics) (computing)
• Rock paper scissors (computing)
• Rock–paper–scissors (computing)

S

• Sample (statistics) (computing)
• Sample size determination (computing)
• Sampling design (computing)
• Sampling distribution (computing)
• Sampling error (computing)
• Sampling fraction (computing)
• Sampling frame (computing)
• Sampling probability (computing)
• Sampling risk (computing)
• Scale analysis (statistics) (computing)
• Selection bias (computing)
• Selective recruitment (computing)
• Self-selection bias (computing)
• Sortition (computing)
• Statistical benchmarking (computing)
• Statistical unit (computing)
• Stock sampling (computing)
• Stratified randomization (computing)
• Stratified sampling (computing)
• Strong and weak sampling (computing)
• Sufficient similarity (computing)
• Survivorship bias (computing)

U

• Unmatched count (computing)

V

• Variables sampling plan (computing)

W

• Whipple's index (computing)