Detail publikace

Small-sample simulation methods for statistical, sensitivity and reliability analyses

Originální název

Small-sample simulation methods for statistical, sensitivity and reliability analyses

Anglický název

Small-sample simulation methods for statistical, sensitivity and reliability analyses

Jazyk

en

Originální abstrakt

The objective of the paper is to present methods for efficient statistical, sensitivity and reliability assessment. The attention is given to the techniques which are developed for an analysis of computationally intensive problems which is typical for a nonlinear FEM analysis. The paper shows the possibility of "randomization" of computationally intensive problems in the sense of the Monte Carlo type simulation.

Anglický abstrakt

The objective of the paper is to present methods for efficient statistical, sensitivity and reliability assessment. The attention is given to the techniques which are developed for an analysis of computationally intensive problems which is typical for a nonlinear FEM analysis. The paper shows the possibility of "randomization" of computationally intensive problems in the sense of the Monte Carlo type simulation.

BibTex


@inproceedings{BUT21409,
  author="Drahomír {Novák} and Miroslav {Vořechovský} and Radoslav {Rusina}",
  title="Small-sample simulation methods for statistical, sensitivity and reliability analyses",
  annote="The objective of the paper is to present methods for efficient statistical, sensitivity and reliability assessment. The attention is given to the techniques which are developed for an analysis of computationally intensive problems which is typical for a nonlinear FEM analysis. The paper shows the possibility of "randomization" of computationally intensive problems in the sense of the Monte Carlo type simulation.",
  booktitle="Probabilistic Workshop Technical Systems Natural Hazards",
  chapter="21409",
  year="2005",
  month="october",
  pages="51--60",
  type="conference paper"
}