Examples of using Post-stratification in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
The key to post-stratification is to form the right groups.
the Horvitz-Thompson estimator and post-stratification.
shows that these problems are potentially addressable using post-stratification.
researchers often want to create a huge number of groups for post-stratification.
Thus, the overall bias will be small if the bias in each post-stratification group is small.
In particular, they used a more sophisticated form of the post-stratification I told you about.
For example, one way in which you can use auxiliary information is post-stratification recall eq.
Bethlehem(2010) extends many of the above derivations about post-stratification to include both nonresponse and coverage errors.
researchers doing sample matching also perform some kind of post-stratification adjustment to make estimates.
There are two ways that I like to think about making the bias small in each post-stratification group.
both approaches basically rely on the same estimation method: post-stratification.
For more on using post-stratification to adjust for nonresponse, see Smith(1991)
Roughly, post-stratification helps correct for an imbalanced sample by bringing in auxiliary information about the sizes of the groups.
For example, one way in which you can use auxiliary information is post-stratification(recall eq. 3.5 from above).
But, there are three important points to keep in mind about post-stratification, all of which make it seem more promising.
other adjustment approaches(e.g., post-stratification).
However, if researchers can adjust for the biases in the sampling process(e.g., post-stratification) or control the sampling process somewhat(e.g., sample matching),
This massive sample size enabled them to form a huge number of post-stratification groups.
Correct for the non-representativeness of your sample using post-stratification or some other technique.
Correct for the nonrepresentativeness of your sample using post-stratification or some other technique.