### Abstract

Original language | English |
---|---|

Place of Publication | Tilburg |

Publisher | Operations research |

Number of pages | 8 |

Volume | 2001-15 |

Publication status | Published - 2001 |

### Publication series

Name | CentER Discussion Paper |
---|---|

Volume | 2001-15 |

### Fingerprint

### Keywords

- experimental design
- simulation models
- sensitivity analysis
- regression analysis

### Cite this

*Experimental Design for Sensitivity Analysis of Simulation Models*. (CentER Discussion Paper; Vol. 2001-15). Tilburg: Operations research.

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**Experimental Design for Sensitivity Analysis of Simulation Models.** / Kleijnen, J.P.C.

Research output: Working paper › Discussion paper › Other research output

TY - UNPB

T1 - Experimental Design for Sensitivity Analysis of Simulation Models

AU - Kleijnen, J.P.C.

N1 - Pagination: 8

PY - 2001

Y1 - 2001

N2 - This introductory tutorial gives a survey on the use of statistical designs for what if-or sensitivity analysis in simulation.This analysis uses regression analysis to approximate the input/output transformation that is implied by the simulation model; the resulting regression model is also known as metamodel, response surface, compact model, emulator, etc.Regression analysis gives better results when the simulation experiment is well designed, using classical statistical designs (such as fractional factorials, including 2 k-p designs).These statistical techniques reduce the ad hoc character of simulation; that is, these techniques can make simulation studies give more general results, in less time.

AB - This introductory tutorial gives a survey on the use of statistical designs for what if-or sensitivity analysis in simulation.This analysis uses regression analysis to approximate the input/output transformation that is implied by the simulation model; the resulting regression model is also known as metamodel, response surface, compact model, emulator, etc.Regression analysis gives better results when the simulation experiment is well designed, using classical statistical designs (such as fractional factorials, including 2 k-p designs).These statistical techniques reduce the ad hoc character of simulation; that is, these techniques can make simulation studies give more general results, in less time.

KW - experimental design

KW - simulation models

KW - sensitivity analysis

KW - regression analysis

M3 - Discussion paper

VL - 2001-15

T3 - CentER Discussion Paper

BT - Experimental Design for Sensitivity Analysis of Simulation Models

PB - Operations research

CY - Tilburg

ER -