### Abstract

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

Title of host publication | Maximum Entropy and Bayesian Methods |

Editors | Kenneth M. Hanson, Richard N. Silver |

Publisher | Springer Netherlands |

Pages | 245-250 |

Number of pages | 6 |

ISBN (Print) | 978-94-010-6284-8 978-94-011-5430-7 |

Publication status | Published - 1996 |

### Publication series

Name | Fundamental Theories of Physics |
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Publisher | Springer Netherlands |

### Fingerprint

### Keywords

- Electrical Engineering, model comparison, parameter estimation, Physics, general, Probability Theory and Stochastic Processes, Statistical Physics, Dynamical Systems and Complexity, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics, general

### Cite this

*Maximum Entropy and Bayesian Methods*(pp. 245-250). (Fundamental Theories of Physics). Springer Netherlands.

**Bayesian Parameter Estimation of Nuclear Fusion Confinement Time Scaling Laws.** / Dose, V.; Linden, W. Von Der; Garrett, A.

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › Research

*Maximum Entropy and Bayesian Methods.*Fundamental Theories of Physics, Springer Netherlands, pp. 245-250.

}

TY - CHAP

T1 - Bayesian Parameter Estimation of Nuclear Fusion Confinement Time Scaling Laws

AU - Dose, V.

AU - Linden, W. Von Der

AU - Garrett, A.

N1 - DOI: 10.1007/978-94-011-5430-729

PY - 1996

Y1 - 1996

N2 - A data set on the confinement time of the toroidal magnetic confinement stellarator type fusion experiment W7AS has been analyzed in terms of three scaling laws derived from the more advanced tokamak line of fusion research. The analysis suggests stellarator performance to follow closely the well known Lackner- Gottardi scaling.

AB - A data set on the confinement time of the toroidal magnetic confinement stellarator type fusion experiment W7AS has been analyzed in terms of three scaling laws derived from the more advanced tokamak line of fusion research. The analysis suggests stellarator performance to follow closely the well known Lackner- Gottardi scaling.

KW - Electrical Engineering, model comparison, parameter estimation, Physics, general, Probability Theory and Stochastic Processes, Statistical Physics, Dynamical Systems and Complexity, Statistics for Engineering, Physics, Computer Science, Chemistry and Eart

M3 - Other chapter contribution

SN - 978-94-010-6284-8 978-94-011-5430-7

T3 - Fundamental Theories of Physics

SP - 245

EP - 250

BT - Maximum Entropy and Bayesian Methods

A2 - Hanson, Kenneth M.

A2 - Silver, Richard N.

PB - Springer Netherlands

ER -