Package repicea.stats.estimates

Interface Summary

Interface	Description
NumberOfRealizationsProvider	This interface ensures that the number of realizations can be provided by the estimate.

Class Summary

Class	Description
BootstrapHybridPointEstimate	This class implements the bootstrap estimator of the total as developed by Fortin et al.
ConfidenceInterval
CorrelationEstimate	The CorrelationEstimate class represents a Pearson's correlation estimate.
Estimate<D extends Distribution>	The Estimate class is the basic class for all estimates.
GaussianErrorTermEstimate	The GaussianErrorTermEstimate class handles the complex covariance structure in linear and nonlinear models.
GaussianEstimate	This class contains the elements related to the random effects, i.e.
JackknifeEstimate	The JackknifeEstimate class implements the variance calculation typical of delete-d Jackknife variance estimator.
LawOfTotalVarianceMonteCarloEstimate	The LawOfTotalVarianceMonteCarloEstimate is a Monte Carlo estimate for random variable.
LinkedGaussianEstimate
MonteCarloEstimate	This estimate contains the realizations of a Monte Carlo simulations.
PointEstimate<O extends PopulationUnit>
PopulationMeanEstimate	This class implements an estimator of the mean of the population, which is the sample mean and the sample variance corrected by n/(n-1) being the estimator of the variance.
PopulationTotalEstimate	This class implements the classical Horvitz-Thompson estimator of the total (tau) in a context of random sampling WITHOUT replacement.
SimpleEstimate	The Estimate class is the general class for all estimates.
TruncatedGaussianEstimate	The TruncatedGaussianEstimate class allows to generate random deviates from a truncated Gaussian distribution.
UniformEstimate	The UniformEstimate class relies on a uniform distribution.
VarianceEstimate	The VarianceEstimate is a class of Estimate that suits the variance estimation.

Enum Summary

Enum	Description
Estimate.EstimatorType	The type of estimator.
MonteCarloEstimate.MessageID