ABSTRACT
Root-Sum-Square and Extreme Value Analysis 9
3. Create the tolerance array:
[ -Tr
T:= Tr
-Te] Te [ ~).01 T= 0.01 4. Create the swapped tolerance array:
-o.os] 0.05
M=[l.Ol 0.99
0.99
1.01 0.95] 1.05
5. Get the extreme values by multiplying the function components by the swapped array M:
Vev= [ 7.089] 7.914
RSS methods require knowing some aspects of a statistical distribution known as Gaussian (sometimes called normal) distribution. The
general characteristics of this familiar bell-shaped curve are given below:
u(x) is known as the cumulative normal probability distribution and c is a normalizing constant.
