Comments (3)
MamadouSDiallo
commented on May 25, 2024
1
Hi @cuchoi
One of your cluster is much larger than the other two. Therefore, it becomes a certainty cluster meaning the probability of inclusion is 1. You will have to handle it manually. In this case, the sample is the certainty one. If you were selecting more than one, you could exclude the certainty unit from the frame as selected, and sample the rest of the units frame the remaining frame. In the future I have plans to handle this situation better but for now it is a manual process.
I will improve the code to better handle the case where stratum is None.
Best
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cuchoi
commented on May 25, 2024
That makes sense; thanks for the answer!
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cuchoi
commented on May 25, 2024
In the future I have plans to handle this situation better but for now it is a manual process
Do you have any reference implementations or papers? I could try submitting a PR.
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Related Issues (20)
- Same sample size across strata
- cluster sample size
- Add datasets referenced in tutorial notebooks as part of the repo HOT 2
- fix use of some deprecated things HOT 1
- testing HOT 1
- comm. guidelines HOT 1
- minor issues w/ writing HOT 1
- Estimation problem: 'division by 0' HOT 7
- Documentation outdated in README and ReadTheDocs HOT 1
- RuntimeWarning: divide by zero encountered in log ll_term1 = np.log(np.linalg.det(V)) HOT 1
- "cannot reshape array" error message with crosstabs containing 0-value cells (samplics 0.3.12 and 0.3.13) HOT 28
- Enhancements for sample estimation - response rate and sampling
- LinAlgError: Singular matrix when running EBLUP Area Model HOT 3
- Reference formulas for four main types of comparisons, in particular "comparison of two groups from the same sample"?
- Enhancement: Add MIVQUE0 estimation method for EBLUP area model HOT 1
- Sample designing HOT 2
- Preserve the GLM model information
- design effect
- Design effect for cross-tabulation APIs
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