Uses of Class
com.irurueta.numerical.MaximumLikelihoodEstimator

Packages that use MaximumLikelihoodEstimator

Package	Description
com.irurueta.numerical	This library contains packages for:

Uses of MaximumLikelihoodEstimator in com.irurueta.numerical

Subclasses of MaximumLikelihoodEstimator in com.irurueta.numerical

Modifier and Type	Class	Description
class	AccurateMaximumLikelihoodEstimator	Class to estimate the most likely value from a series of samples assumed to be normally distributed.
class	HistogramMaximumLikelihoodEstimator	Class to estimate the most likely value from a series of samples assumed to be normally distributed.

Methods in com.irurueta.numerical that return MaximumLikelihoodEstimator

Modifier and Type	Method	Description
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create()	Creates an instance of a subclass of this class using default maximum likelihood estimation method and default Gaussian sigma.
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create(double gaussianSigma)	Creates an instance of a subclass of this class using default maximum likelihood estimation method and provided Gaussian sigma.
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create(double[] inputData)	Creates an instance of a subclass of this class using default maximum likelihood method and Gaussian sigma, and provided input data array
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create(double[] inputData, double gaussianSigma)	Creates an instance of a subclass of this class using default maximum likelihood method, provided Gaussian sigma and input data array
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create(double[] inputData, double gaussianSigma, MaximumLikelihoodEstimatorMethod method)	Creates an instance of a subclass of this class based on provided method and using provided Gaussian sigma and input data array.
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create(double minValue, double maxValue, double[] inputData)	Creates an instance of a subclass of this class using default maximum likelihood method and default Gaussian sigma, and using provided input data array and minimum/maximum values assumed to be contained in provided array.
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create(double minValue, double maxValue, double[] inputData, double gaussianSigma)	Creates an instance of a subclass of this class using default maximum likelihood method and using provided Gaussian sigma, input data array and minimum/maximum values assumed to be contained in provided array.
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create(double minValue, double maxValue, double[] inputData, double gaussianSigma, MaximumLikelihoodEstimatorMethod method)	Creates an instance of a subclass of this class based on provided method and using provided Gaussian sigma, input data array and minimum/maximum values assumed to be contained in provided array.
static MaximumLikelihoodEstimator	MaximumLikelihoodEstimator.create(double gaussianSigma, MaximumLikelihoodEstimatorMethod method)	Creates an instance of a subclass of this class based on provided method and using provided Gaussian sigma.