IdtSngNDE-class: Class IdtSngNDE

Description

Contains the results of a single class maximum likelihood estimation for the Normal distribution, with the four different possible variance-covariance configurations.

Arguments

Slots

mleNmuE:: Vector with the maximum likelihood mean vectors estimates
mleNmuEse:: Vector with the maximum likelihood means' standard errors
CovConfCases:: List of the considered configurations
ModelNames:: Inherited from class '>IdtE. The model acronym formed by a "N", indicating a Normal model, followed by the configuration (Case 1 through Case 4)
ModelType:: Inherited from class '>IdtE. Indicates the model; always set to "Normal" in objects of the IdtSngNDE class
ModelConfig:: Inherited from class '>IdtE. Configuration of the variance-covariance matrix: Case 1 through Case 4
NIVar:: Inherited from class '>IdtE. Number of interval variables
SelCrit:: Inherited from class '>IdtE. The model selection criterion; currently, AIC and BIC are implemented
logLiks:: Inherited from class '>IdtE. The logarithms of the likelihood function for the different cases
AICs:: Inherited from class '>IdtE. Value of the AIC criterion
BICs:: Inherited from class '>IdtE. Value of the BIC criterion
BestModel:: Inherited from class '>IdtE. Bestmodel indicates the best model according to the chosen selection criterion
SngD:: Inherited from class '>IdtE. Boolean flag indicating whether a single or a mixture of distribution were estimated. Always set to TRUE in objects of class IdtSngNDE

Extends

Class '>IdtSngDE, directly. Class '>IdtE, by class '>IdtSngDE, distance 2.

Methods

No methods defined with class IdtSngNDE in the signature.

References

Brito, P., Duarte Silva, A. P. (2012), Modelling Interval Data with Normal and Skew-Normal Distributions. Journal of Applied Statistics 39(1), 3--20.