lerfob.predictor.mathilde.thinning

Class MathildeStandThinningPredictor

java.lang.Object

repicea.simulation.SensitivityAnalysisParameter<ModelParameterEstimates>

repicea.simulation.REpiceaPredictor

repicea.simulation.REpiceaBinaryEventPredictor<MathildeThinningStand,java.lang.Object>

lerfob.predictor.mathilde.thinning.MathildeStandThinningPredictor

All Implemented Interfaces:

java.io.Serializable

public final class MathildeStandThinningPredictor
extends REpiceaBinaryEventPredictor<MathildeThinningStand,java.lang.Object>

This class implements the stand level thinning submodel in Mathilde model.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class repicea.simulation.REpiceaPredictor

REpiceaPredictor.CruiseLine, REpiceaPredictor.ErrorTermGroup, REpiceaPredictor.IntervalNestedInPlotDefinition

Field Summary

Fields

Modifier and Type	Field and Description
protected static int	NumberOfParameters

Fields inherited from class repicea.simulation.REpiceaPredictor

DefaultZeroIndex, isRandomEffectsVariabilityEnabled, isResidualVariabilityEnabled, listeners, oXVector

Fields inherited from class repicea.simulation.SensitivityAnalysisParameter

isParametersVariabilityEnabled

Constructor Summary

Constructors

Constructor and Description
MathildeStandThinningPredictor(boolean isVariabilityEnabled) Constructor.

Method Summary

Modifier and Type	Method and Description
protected double	getFixedEffectOnlyPrediction(Matrix beta, MathildeThinningStand stand)
protected void	init() This method reads all the parameters in .csv files and stores the estimates into members defaultBeta, defaultResidualError, and defaultRandomEffects.
double	predictEventProbability(MathildeThinningStand stand, java.lang.Object tree, java.lang.Object... parms) This method returns the probability of event for a particular tree represented by the parameter "tree".

Methods inherited from class repicea.simulation.REpiceaBinaryEventPredictor

findFirstParameterOfThisClass, predictEvent

Methods inherited from class repicea.simulation.REpiceaPredictor

addModelBasedSimulatorListener, doBlupsExistForThisSubject, doesThisSubjectHaveResidualErrorTerm, doRandomDeviatesExistForThisSubject, fireModelBasedSimulatorEvent, fireRandomEffectDeviateGeneratedEvent, getBlupsForThisSubject, getCruiseLineForThisSubject, getDefaultRandomEffects, getDefaultRandomEffects, getDefaultResidualError, getGaussianErrorTerms, getIntervalNestedInPlotDefinition, getParametersForThisRealization, getRandomEffectsForThisSubject, getResidualError, getResidualErrorForThisSubject, getSubjectPlusMonteCarloSpecificId, getSubjectPlusMonteCarloSpecificId, hasSubjectBeenTestedForBlups, recordSubjectTestedForBlups, removeModelBasedSimulatorListener, setBlupsForThisSubject, setDefaultRandomEffects, setDefaultResidualError, setDeviatesForRandomEffectsOfThisSubject, setParameterEstimates, simulateDeviatesForRandomEffectsOfThisSubject

Methods inherited from class repicea.simulation.SensitivityAnalysisParameter

getParameterEstimates

Methods inherited from class java.lang.Object

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

Field Detail

NumberOfParameters

protected static final int NumberOfParameters

See Also:

Constant Field Values

Constructor Detail

MathildeStandThinningPredictor

public MathildeStandThinningPredictor(boolean isVariabilityEnabled)

Constructor.

Parameters:

isVariabilityEnabled - true to enable the stochastic mode

Method Detail

init

protected void init()

Description copied from class: REpiceaPredictor

This method reads all the parameters in .csv files and stores the estimates into members defaultBeta, defaultResidualError, and defaultRandomEffects.

Specified by:

init in class REpiceaPredictor

getFixedEffectOnlyPrediction

protected double getFixedEffectOnlyPrediction(Matrix beta,
                                              MathildeThinningStand stand)

predictEventProbability

public double predictEventProbability(MathildeThinningStand stand,
                                      java.lang.Object tree,
                                      java.lang.Object... parms)

Description copied from class: REpiceaBinaryEventPredictor

This method returns the probability of event for a particular tree represented by the parameter "tree".

Specified by:

predictEventProbability in class REpiceaBinaryEventPredictor<MathildeThinningStand,java.lang.Object>

Parameters:

stand - a S-derived instance

tree - a T-derived instance

parms - some additional parameters

Returns:

the event probability