Category:Sampling (statistics)

• Sampling (statistics)

A

• Acceptable quality limit
• Acceptance sampling
• Acquiescence bias
• Area sampling frame
• Autodidacticism

B

• Balanced repeated replication
• Sampling bias

C

• Census
• Civic lottery
• Cohen's h
• Coin flipping
• Common source bias
• Correct sampling
• Coverage error

D

• Drawing lots (decision making)
• Drawing straws

E

• Effective sample size
• Expander walk sampling

F

• Failure bias
• Flow sampling

G

• Gy's sampling theory

H

• Healthy user bias
• Heckman correction
• Horsengoggle
• Horvitz–Thompson estimator

I

• Imperfect induction
• Infrastructure bias
• Inherent bias
• Item tree analysis

J

• Judgment sample

K

• Kleroterion

L

• Lot quality assurance sampling
• Lottery machine

M

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

N

• NQuery Sample Size Software

O

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

P

• Prior-independent mechanism

R

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

S

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

U

• Unmatched count

V

• Variables sampling plan

W

• Whipple's index