Simulation of Neyer D-optimal senstivity test

Li Dong Zhou, Yu Quan Wen*, Pei Lan Wang, Jun Bo Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In order to study the characteristics and the influence factors of the parameter estimation of Neyer D-optimal sensitivity test, the effects of the initial guesses of parameters and the sample size on the precision of parameter estimation were studied by computer simulation. Results show that the mean estimation is unbiased; about one-third of the standard deviation estimation is smaller and two-thirds of the standard deviation estimation is bigger; the initial guesses of the parameters have a little effect on the precision of parametric estimation; a better mean estimation can be obtained if sample size is more than 18.

Original languageEnglish
Pages (from-to)152-156
Number of pages5
JournalHanneng Cailiao/Chinese Journal of Energetic Materials
Volume17
Issue number2
Publication statusPublished - Apr 2009

Keywords

  • Computer simulation
  • Neyer D-optimal method
  • Sensitivity test
  • System engineering

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