landsat_means

The <code>landsat</code> data is a compilation of survey and satellite
 data from Battese et al. (1988). The county-specific population means of
 pixels of the segments under corn and soybeans, respectively, are available
 in the data.frame <code>landsat_means</code>.

datasets

Empirical best linear unbiased prediction (EBLUP) and
robust prediction of the area-level means under the basic unit-level
model. The model can be fitted by maximum likelihood or a (robust)
M-estimator. Mean square prediction error is computed by a parametric
bootstrap.

Tobias Schoch

rsae

Robust Small Area Estimation

Burkardt John

landsat_means function

A data frame with 12 observations (counties) on the following 3 variables.<dl>
 <dt><code>(intercept)</code></dt>
<dd>all ones.</dd> <dt><code>MeanPixelsCorn</code></dt>
<dd>county-specific mean of number of pixels
 classified as corn (LANDSAT readings).</dd> <dt><code>MeanPixelsSoybeans</code></dt>
<dd>county-specific number of pixels
 classified as soybeans (LANDSAT readings).</dd> 
</dl>

Format

Means of the LANDSAT Data for Corn and Soybeans — landsat_means

A data frame with 12 observations (counties) on the following 3 variables.<dl>
 <dt><code>(intercept)</code></dt>
<dd>all ones.</dd>

 <dt><code>MeanPixelsCorn</code></dt>
<dd>county-specific mean of number of pixels
 classified as corn (LANDSAT readings).</dd>

 <dt><code>MeanPixelsSoybeans</code></dt>
<dd>county-specific number of pixels
 classified as soybeans (LANDSAT readings).</dd>

 
</dl>

landsat_means: Means of the LANDSAT Data for Corn and Soybeans

Description

Usage

Arguments

Format

Details

References

Examples