stratified sample การใช้
- The Norwegian Anders Nicolai Ki鎟 introduced the concept of stratified sampling in 1895.
- A real-world example of using stratified sampling would be for a political survey.
- This contrasts with stratified sampling where the main objective is to increase precision.
- In stratified sampling, the analysis is done on elements within strata.
- There are, however, some potential drawbacks to using stratified sampling.
- For this reason, benchmarking is generally used in situations where stratified sampling is impractical.
- Greater perceived fairness can be added by using stratified sampling.
- "' Recursive stratified sampling "'is a generalization of one-dimensional adaptive quadratures to multi-dimensional integrals.
- Although cluster sampling and stratified sampling bear some superficial similarities, they are substantially different.
- VEGAS incorporates a number of additional features, and combines both stratified sampling and importance sampling.
- If these conditions do not hold, stratified sampling or cluster sampling may be a better choice.
- Proportionate stratified sampling involves selecting participants from each strata in proportions that match the general population.
- The SIPP sample is a multistage-stratified sample of the U . S . civilian noninstitutionalized population.
- The " stratified sampling " proposed by Kitagawa ( 1996 ) is optimal in terms of variance.
- The main ones are : Common random numbers, antithetic variates, control variates, importance sampling and stratified sampling.
- In particular, stratified sampling-dividing the region in sub-domains-, and importance sampling-sampling from non-uniform distributions-are two of such techniques.
- I'll also suggest stratified sampling.
- In survey sampling, weights can be applied to the data to adjust for the sample design, particularly stratified sampling.
- A stratified sample of eight wikis was selected from the WikiTeam dump, and measures extracted using the PRISM model checker.
- The advantage of stratified sampling is that the sample numbers in each stratum can be controlled for desired accuracy outcomes.
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