Research Article

The Sum and Difference of Two Lognormal Random Variables

Figure 4

Error versus 𝑆 1 𝑆 2 : the error is calculated by subtracting the approximate estimate from the exact result. The dash lines denote the errors of the approximate shifted square-root process, and the solid lines show the errors of the approximate shifted lognormal process. (a) 𝑆 1 0 = 1 1 0 , 𝑆 2 0 = 1 0 0 , 𝜎 1 = 0 . 2 5 , and 𝜎 2 = 0 . 1 5 ; (b) 𝑆 1 0 = 1 1 0 , 𝑆 2 0 = 7 0 , 𝜎 1 = 0 . 2 5 , and 𝜎 2 = 0 . 1 5 ; (c) 𝑆 1 0 = 1 1 0 , 𝑆 2 0 = 4 0 , 𝜎 1 = 0 . 2 5 , and 𝜎 2 = 0 . 1 5 ; (d) 𝑆 1 0 = 1 1 0 , 𝑆 2 0 = 1 0 0 , 𝜎 1 = 0 . 3 , and 𝜎 2 = 0 . 2 ; (e) 𝑆 1 0 = 1 1 0 , 𝑆 2 0 = 7 0 , 𝜎 1 = 0 . 3 , and 𝜎 2 = 0 . 2 ; (f) 𝑆 1 0 = 1 1 0 , 𝑆 2 0 = 4 0 , 𝜎 1 = 0 . 3 , and 𝜎 2 = 0 . 2 .
838397.fig.004a
(a)
838397.fig.004b
(b)
838397.fig.004c
(c)
838397.fig.004d
(d)
838397.fig.004e
(e)
838397.fig.004f
(f)