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Learn the Approaches
Each approach in HyperStudy serves a different purpose in the design study.
Stochastic
A Stochastic approach is a method of probabilistic analysis where the input variables are defined by a probability distribution, and consequently the corresponding output responses are not a single deterministic value, but a distribution.
Stochastic Methods
Numerical methods available for an Stochastic approach.

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View new features for HyperStudy 2024.
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A study is a self-contained project in which models, variables, output responses, and approaches are defined.
Learn the Approaches
Each approach in HyperStudy serves a different purpose in the design study.
- DOE
  A DOE is a series of tests in which purposeful changes are made to the input variables to investigate their effect upon the output responses and to get an understanding of the global behavior of a design problem. By running a DOE, you can determine which factors are most influential on an output response.
- Fit (Approximation)
  A Fit is a mathematical model that is trained by data and is capable of predicting output response variables for a given set of input variables.
- Optimization
  An Optimization is a mathematical procedure used to determine the best design for a set of given constraints, by changing the input variables in an automatic manner.
- Sampling Fit
  A Sampling Fit is a combination of space-filling DOE method and mathematical model trained by the data generated.
- Stochastic
  A Stochastic approach is a method of probabilistic analysis where the input variables are defined by a probability distribution, and consequently the corresponding output responses are not a single deterministic value, but a distribution.
  - Uncertainty in Design
    Many factors can be a source for variations in design parameters changing the nature of a design problem from deterministic to probabilistic.
  - Reliability and Robustness
    The objective in probabilistic design is to reduce the effects of probabilistic characteristics of design parameters onto design performance. Generally these effects are grouped as reliability, robustness, and reliability and robustness.
  - Stochastic Methods
    Numerical methods available for an Stochastic approach.
- Basic
  A Basic approach can be used to test nominal values and bounds by performing a nominal run, system bound check, or sweep.
- Verification
  A Verification approach compares two data sets in a side by side comparison.
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Frequently Asked Questions
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Stochastic Methods

Numerical methods available for an Stochastic approach.


Method	Efficiency	Basic Parameter	Comments
Hammersley	✩✩	Number of runs
Latin HyperCube	✩✩	Number of runs	Maintain the value of the random seed to get repeatable designs.
Modified Extensible Lattice Sequence	✩✩	Number of runs	Maintain the value of the random seed to get repeatable designs. Note: Modified Extensible Lattice Sequence can be extended upon itself to add points to a previously completed MELS DOE.
Simple Random	✩	Number of runs	Maintain the value of the random seed to get repeatable designs.