Accelerated life testing, Advanced Statistics

Accelerated life Testing

A set of methods or techniques which are intended to ensure product reliability during the time of design and manufacture in which stress is applied to promote the failure. The applied stresses might be vibration, temperature, shock etc. In order to make a valid inference about the normal lifetimeof the system from the accelerated data (accelerated in the sense that a shortened time to the failure is implied), it is essential to know the association between time to failure and applied stress. Frequently parametric statistical models of the time to failure and of the manner in which the stress accelerates aging are used.





 

Posted Date: 7/25/2012 4:38:03 AM | Location : United States







Related Discussions:- Accelerated life testing, Assignment Help, Ask Question on Accelerated life testing, Get Answer, Expert's Help, Accelerated life testing Discussions

Write discussion on Accelerated life testing
Your posts are moderated
Related Questions
Demographic data: Age: continuous variable Gender: categorical variable with males coded 1, females coded 2. Relationship status: categorical variable 1 to 5. Rational

Perturbation theory : The theory useful in assessing how well a specific algorithm or the statistical model performs when the observations suffer less random changes. In very commo

moving and semi average method graphical reprsentation

Ha: If hyperlipidemia is believed to be a side effect of second-generation antipsychotics (SGAs), then Hispanic patients with SGAs treatment will have the higher frequency of devel

For a career woman, wearing lipstick has become an integral part of her daily life. It is not unusual for a woman to look for a lipstick that will stay on her lips and not smudge o

Coincidences : Astonishing concurrence of the events, perceived as meaningfully related, with no apparent causal connection. Such type of events abounds in everyday life and is oft

Residual plots are the plots of some type of residual which might be helpful in assessing the assumption made by the fitted model. In regression analysis there are various method

A radically different approach of dealing with the uncertainty than the traditional probabilistic and the statistical methods. The necessary feature of the fuzzy set is a membershi

Hazard function : The risk which an individual experiences an event in a small time interval, given that the individual has survived up to the starting of the interval. It is th

A name sometimes given to the type of diagram generally used in meta-analysis, in which point estimates and confidence intervals are displayed for all the studies included in the a