com.datumbox.framework.core.statistics.decisiontheory

Class DecisionCriteria

java.lang.Object

com.datumbox.framework.core.statistics.decisiontheory.DecisionCriteria

public class DecisionCriteria
extends java.lang.Object

Implementations of various Decision Criteria based on a payoff matrix.

Constructor Summary

Constructors

Constructor and Description
DecisionCriteria()

Method Summary

Modifier and Type	Method and Description
static java.util.Map.Entry<java.lang.Object,java.lang.Object>	bayes(DataTable2D payoffMatrix, AssociativeArray eventProbabilities) Returns the best option and the payoff under bayes strategy
static java.util.Map.Entry<java.lang.Object,java.lang.Object>	hurwiczAlpha(DataTable2D payoffMatrix, double alpha) Returns the best option and the payoff under hurwiczAlpha strategy
static java.util.Map.Entry<java.lang.Object,java.lang.Object>	laplace(DataTable2D payoffMatrix) Returns the best option and the payoff under laplace strategy
static java.util.Map.Entry<java.lang.Object,java.lang.Object>	maximumLikelihood(DataTable2D payoffMatrix, AssociativeArray eventProbabilities) Returns the best option and the payoff under maximumLikelihood strategy
static java.util.Map.Entry<java.lang.Object,java.lang.Object>	maxMax(DataTable2D payoffMatrix) Returns the best option and the payoff under maxMax strategy
static java.util.Map.Entry<java.lang.Object,java.lang.Object>	maxMin(DataTable2D payoffMatrix) Returns the best option and the payoff under maxMin strategy
static java.util.Map.Entry<java.lang.Object,java.lang.Object>	savage(DataTable2D payoffMatrix) Returns the best option and the payoff under savage strategy

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DecisionCriteria

public DecisionCriteria()

Method Detail

maxMin

public static java.util.Map.Entry<java.lang.Object,java.lang.Object> maxMin(DataTable2D payoffMatrix)

Returns the best option and the payoff under maxMin strategy

Parameters:

payoffMatrix -

Returns:

maxMax

public static java.util.Map.Entry<java.lang.Object,java.lang.Object> maxMax(DataTable2D payoffMatrix)

Returns the best option and the payoff under maxMax strategy

Parameters:

payoffMatrix -

Returns:

savage

public static java.util.Map.Entry<java.lang.Object,java.lang.Object> savage(DataTable2D payoffMatrix)

Returns the best option and the payoff under savage strategy

Parameters:

payoffMatrix -

Returns:

laplace

public static java.util.Map.Entry<java.lang.Object,java.lang.Object> laplace(DataTable2D payoffMatrix)

Returns the best option and the payoff under laplace strategy

Parameters:

payoffMatrix -

Returns:

hurwiczAlpha

public static java.util.Map.Entry<java.lang.Object,java.lang.Object> hurwiczAlpha(DataTable2D payoffMatrix,
                                                                                  double alpha)

Returns the best option and the payoff under hurwiczAlpha strategy

Parameters:

payoffMatrix -

alpha -

Returns:

maximumLikelihood

public static java.util.Map.Entry<java.lang.Object,java.lang.Object> maximumLikelihood(DataTable2D payoffMatrix,
                                                                                       AssociativeArray eventProbabilities)

Returns the best option and the payoff under maximumLikelihood strategy

Parameters:

payoffMatrix -

eventProbabilities -

Returns:

bayes

public static java.util.Map.Entry<java.lang.Object,java.lang.Object> bayes(DataTable2D payoffMatrix,
                                                                           AssociativeArray eventProbabilities)

Returns the best option and the payoff under bayes strategy

Parameters:

payoffMatrix -

eventProbabilities -

Returns: