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Probabilistic distribution function in jEPlus

5.4 Latin Hypercube Sampling

Latin Hypercube Sampling (see LHS) is implemented in version 1.3. There are some limitations to the current implementation. Firstly, only the parameters in the first branch of the parameter tree are used in LHS. Secondly, if no probabilistic distribution function (PDF) is specified for a parameter, it is assumed to have a discrete distribution with each alternative value having the same probability. If a PDF is specified using @sample syntax, the number of samples param of the parameter will be overridden by the sample size param for the project.

Unlike the standard random sample methods, LHS does not require all jobs being created before taking a sample. It is therefore much faster and appropriate for large projects.


How can I specify parameters?? (just click LHS? )

I want to assume probabilistic distribution.

Probabilistic distribution function in jEPlus

5.4 Latin Hypercube Sampling

Latin Hypercube Sampling (see LHS) is implemented in version 1.3. There are some limitations to the current implementation. Firstly, only the parameters in the first branch of the parameter tree are used in LHS. Secondly, if no probabilistic distribution function (PDF) is specified for a parameter, it is assumed to have a discrete distribution with each alternative value having the same probability. If a PDF is specified using @sample syntax, the number of samples param of the parameter will be overridden by the sample size param for the project.

Unlike the standard random sample methods, LHS does not require all jobs being created before taking a sample. It is therefore much faster and appropriate for large projects.


How can I specify parameters?? (just click LHS? )

I want to assume probabilistic distribution.

Probabilistic distribution function in jEPlus

5.4 Latin Hypercube Sampling

Latin Hypercube Sampling (see LHS) is implemented in version 1.3. There are some limitations to the current implementation. Firstly, only the parameters in the first branch of the parameter tree are used in LHS. Secondly, if no probabilistic distribution function (PDF) is specified for a parameter, it is assumed to have a discrete distribution with each alternative value having the same probability. If a PDF is specified using @sample syntax, the number of samples param of the parameter will be overridden by the sample size param for the project.

Unlike the standard random sample methods, LHS does not require all jobs being created before taking a sample. It is therefore much faster and appropriate for large projects.


How can I specify parameters?? (just click LHS? )

I want to assume probabilistic distribution.

Probabilistic distribution function in jEPlus

5.4 Latin Hypercube Sampling

Latin Hypercube Sampling (see LHS) is implemented in version 1.3. There are some limitations to the current implementation. Firstly, only the parameters in the first branch of the parameter tree are used in LHS. Secondly, if no probabilistic distribution function (PDF) is specified for a parameter, it is assumed to have a discrete distribution with each alternative value having the same probability. If a PDF is specified using @sample syntax, the number of samples param of the parameter will be overridden by the sample size param for the project.

Unlike the standard random sample methods, LHS does not require all jobs being created before taking a sample. It is therefore much faster and appropriate for large projects.


How can I specify parameters?? (just click LHS? )

I want to assume probabilistic distribution.

Probabilistic distribution function in jEPlus

5.4 Latin Hypercube Sampling

Latin Hypercube Sampling (see LHS) is implemented in version 1.3. There are some limitations to the current implementation. Firstly, only the parameters in the first branch of the parameter tree are used in LHS. Secondly, if no probabilistic distribution function (PDF) is specified for a parameter, it is assumed to have a discrete distribution with each alternative value having the same probability. If a PDF is specified using @sample syntax, the number of samples param of the parameter will be overridden by the sample size param for the project.

Unlike the standard random sample methods, LHS does not require all jobs being created before taking a sample. It is therefore much faster and appropriate for large projects.


How can I specify parameters?? (just click LHS? )

I want to assume probabilistic distribution.