@article{3517,
  title = {Statistical Analysis of Slow Crack Growth
  Experiments},
  journal = {Journal of the European Ceramic Society},
  abstract = {A common approach for the determination of Slow Crack Growth (SCG) parameters
  are the static and dynamic loading method. Since materials with small Weibull
  module show a large variability in strength, a correct statistical analysis of the
  data is indispensable. In this work we propose the use of the Maximum Likelihood
  method and a Baysian analysis, which, in contrast to the standard procedures, take
  into account that failure strengths are Weibull distributed. The analysis provides
  estimates for the SCG parameters, the Weibull module, and the corresponding confidence
  intervals and overcomes the necessity of manual differentiation between inert
  and fatigue strength data. We compare the methods to a Least Squares approach,
  which can be considered the standard procedure. The results for dynamic loading
  data from the glass sealing of MEMS devices show that the assumptions inherent
  to the standard approach lead to significantly different estimates.},
  volume = {26},
  number = {15},
  pages = {3061-3065},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = nov,
  year = {2006},
  author = {Pfingsten, T. and Glien, K.},
  doi = {doi:10.1016/j.jeurceramsoc.2005.08.004},
  month_numeric = {11}
}