Cars

<p>This data set consist of the intervals for four characteristics (Price, EngineCapacity, TopSpeed and Acceleration) of 27 cars models partitioned into four different classes (Utilitarian, Berlina, Sportive and Luxury).</p>

datasets

interval data

Implements methodologies for modelling interval data by Normal
and Skew-Normal distributions, considering appropriate parameterizations of
the variance-covariance matrix that takes into account the intrinsic nature of
interval data, and lead to four different possible configuration structures.
The Skew-Normal parameters can be estimated by maximum likelihood, while Normal
parameters may be estimated by maximum likelihood or robust trimmed maximum
likelihood methods.

Pedro Silva

MAINT.Data

Model and Analyse Interval Data

Cars function

<p>A data frame containing 27 observations on 9 variables, the first eight with the the lower and upper bounds of the interval characteristics for 27 car models, the last one a factor indicating the model class.</p>

Cars: Cars Data Set

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