Package edu.cmu.tetrad.util.dist
Class Normal
java.lang.Object
edu.cmu.tetrad.util.dist.Normal
- All Implemented Interfaces:
Distribution,TetradSerializable,Serializable
A normal distribution that allows its parameters to be set and allows random sampling. The parameters are 0 = mean, 1
= standard deviation.
- Author:
- josephramsey
- See Also:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptiongetName()intdoublegetParameter(int index) getParameterName(int index) The name of the index'th parameter, for display purposes.doublestatic NormalGenerates a simple exemplar of this class to test serialization.voidsetParameter(int index, double value) Sets the index'th parameter to the given value.toString()
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Constructor Details
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Normal
public Normal(double mean, double sd)
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Method Details
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serializableInstance
Generates a simple exemplar of this class to test serialization.- Returns:
- The exemplar.
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getName
- Specified by:
getNamein interfaceDistribution- Returns:
- Ibid.
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setParameter
public void setParameter(int index, double value) Description copied from interface:DistributionSets the index'th parameter to the given value.- Specified by:
setParameterin interfaceDistribution- Parameters:
index- Ibid. Must be >= 0 and < # parameters.value- Ibid.
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getParameter
public double getParameter(int index) - Specified by:
getParameterin interfaceDistribution- Parameters:
index- Ibid. Muist be <= 0 and < # parameters.- Returns:
- The Ibid.
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getParameterName
Description copied from interface:DistributionThe name of the index'th parameter, for display purposes.- Specified by:
getParameterNamein interfaceDistribution- Parameters:
index- Ibid. Must be >= 0 and < # parameters.- Returns:
- Ibid.
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getNumParameters
public int getNumParameters()- Specified by:
getNumParametersin interfaceDistribution- Returns:
- the number of parameters = 2.
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nextRandom
public double nextRandom()- Specified by:
nextRandomin interfaceDistribution- Returns:
- the next random sample from the distribution.
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toString
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