Questions tagged [small-area-estimation]

Methods for estimating parameters in sub-populations.

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Breakdown Regional Data into City-Level data

I have average level household- income data of 26 statistical divisions of Turkey (NUTS 2). I need to break down and estimate this data to city (81 sub division NUTS 3) or town level (LAU) level to ...
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How could I use bootstrapping to compare a subpopulation?

We did an A/B test where A is control and B is the same website with one feature variant that is available on all pages on the website. The feature variant is live chat. We wanted to see if live chat ...
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Calculating the area under two overlapping distribution

I have two overlapping frequency distribution, one of the buyers' demand or willingness to pay and the other one is seller's reservation price frequency distribution. The two distributions overlap and ...
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Aggregating small area estimates to match a truth

Small area estimation are related group of techniques in the estimation of parameters associated with a sub-population. For example, suppose I have sub-populations $S_1, \cdots, S_n$ with total ...
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Population-level data with small n's [closed]

I have population data (not sample data) and I'm looking at incidence over time in the population. I have small n's (for the incidence and for the overall population). For example, I have an ...
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Is it advisable to average quarterly benefit claimants rate to an annual claimants rate, and if so how?

I had a discussion with colleague whether would it be sensible to average quarterly unemployment benefit rate to an annual rate? Is it better to refrain from averaging the quarterly unemployment-...
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Validity of combining surveys and sociodemographics to estimate miles walked in census tracts

I ran across this paper that describes an interesting approach to combining survey and sociodemographic data: Salon. Estimating Total Miles Walked and Biked by Census Tract in California. State of ...
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23 votes
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Why do the estimated values from a Best Linear Unbiased Predictor (BLUP) differ from a Best Linear Unbiased Estimator (BLUE)?

I understand that the difference between them is related to whether the grouping variable in the model is estimated as a fixed or random effect, but it's not clear to me why they are not the same (if ...
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