ST9 · Estimation / H: recapture / H: quality Estimation and quality assurance mind map

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ST9 · Estimation / H: recapture / H: quality Estimation and quality assurance mind map

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Estimation

Estimate a proportion: Sample proportion × population gives estimated count.
Estimate centre: Sample summaries estimate population characteristics.
Size and replication: More data reduces variation, not structural bias.
State limitations: Qualify estimates and improve the actual weakness.

H: recapture

Higher: Petersen estimate: N ≈ first marked × second catch ÷ recaptures.
Higher: Capture assumptions: Closure, retained marks, mixing and equal catchability.
Higher: Small recaptures: Small recapture denominators create uncertainty.

H: quality

Higher: Sample summaries: Sample means are less variable than individual values.
Higher: Control charts: Monitor a defined statistic with consistent sampling.
Higher: Warning and action limits: Warning ±2 sample-mean SD; action ±3.
Higher: Respond to evidence: Action signal investigate; warning signal resample.

Connections

Estimation → H: recapture: Both sample proportions and recapture proportions estimate population characteristics under design assumptions.
H: recapture → H: quality: Recapture estimates and control-chart judgements both depend on sampling variation and a credible monitored quantity.