Sentence examples for distribution for safety from inspiring English sources

In the above equations, (v = frac{{sigma_{0} }}{{mu_{0} }}), and (varphi ( cdot )) and (varPhi ( cdot )) are probability density and cumulative distribution functions of the standard normal distribution for safety factor ((k_{0})), respectively.

It is well understood, and there exists both exact theory and efficient numerical algorithms for calculation of the distribution of safety related wave characteristics, such as crest height and steepness.

The distribution of safety ropes was reinstated soon after the blaze.

Commander Steve Bloomfield, senior officer for south-west London, said police were "taking the incidents very seriously" and outlined measures such as an increase in uniformed police presence in the area and the distribution of "safety advice".

The optimum thickness distribution for a required safety factor at the ultimate possible inflow speed resulted in 37.6% saving in blade material.

Two important results emerge from this work: (a) we are able to quantify the required quality of theoretical nuclear reaction models directly from the reactor design requirements and (b) our method leads to a deviation from the commonly assumed normal distribution for uncertainties of safety related reactor parameters, and this should be taken into account for future nuclear energy development.

This flow mal-distribution is an important input for safety analysis of the reactor for the event of 'one primary pipe rupture'.

Also missing from the distribution list was Helen O. Petrauskas, Ford's vice president for safety and environmental issues.

The joint probability distribution for the failure probability of a safety system(s) having different consequences is modeled using the Cuadras and Auges copula [Nelsen, R.B., 1999. An Introduction to Copulas. Lecture Notes in Statistics, Springer, New York].

Study of flame distribution laws and the hazard effects in a tunnel gas explosion accident is of great importance for safety issue.

In addition we are developing an in-depth description of the mechanisms of excess risk for some groups compared to others, while identifying opportunities for more equitable distributions of patient safety for all.