bushfire

<p>The bushfire data set was used by Campbell (1984, 1989) to locate bushfire scars.
The dataset contains satellite measurements on five frequency bands, corresponding
to each of 38 pixels.</p>

datasets

Algorithms for multivariate outlier detection when missing values
occur. Algorithms are based on Mahalanobis distance or data depth.
Imputation is based on the multivariate normal model or uses nearest
neighbour donors. The algorithms take sample designs, in particular
weighting, into account. The methods are described in Bill and Hulliger
(2016) <doi:10.17713/ajs.v45i1.86>.

Beat Hulliger

modi

Multivariate Outlier Detection and Imputation for Incomplete
Survey Data

Martin Sterchi

Tobias Schoch

bushfire function

<p>A data frame with 38 rows and 5 variables.</p>

bushfire: Bushfire scars.

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Examples