Questions tagged [small-area-estimation]
Methods for estimating parameters in sub-populations.
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Multivariate Fay-Herriot Model with a Partially-observed Variable
Let's say I have two correlated variables $x$ and $y$ which vary among cities, and I'm interested in estimating the mean of each variable for every city. I have a sample of 30 cities for which ...
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Estimating small-area distribution using survey results for larger area
To start, I'd like to say that I haven't been able to figure out the general technique that I'm looking for, so apologies in advance. "Small area estimation" seems to be the general concept but I've ...
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Benchmarking direct and indirect estimates
Background
Suppose I have parameters $\theta_1, \cdots, \theta_m$ which represent some quantity of interest in areas $1, \cdots, m$. For example, this may be the median income in zip code $i$. I have ...
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1answer
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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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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 ...
