Table 4 (Concluded) 



Lognormal ; 



^^^^-±fkA-HH^1] 



dh 



(4) 



< X < 



Log Extremal: 



F(x) = exp 



(5) 



< X < » 



Weibull; 



F(x) = 1 .0 - exp 



[-Ml 



(6) 



9. The theoretical cumulative probability function is fit to data by 

 means of the plotting position formula. If the data sample given by Xi , 

 ^2 , . . . , Xj^ is ranked in ascending order denoted by Y/ . \ < Y/^) <...< Y/ \ 

 where ^(\^) is called the k order statistic, then the plotting position 



formula 



^k ^ n + 1 



(7) 



represents the estimate of the data cumulative probability function. If this 

 is set equal to the proposed theoretical cumulative probability function F(x) 

 from Table 4 then 



F, - — ^ = fH 

 k n + 1 L 



AY 



(k) 



(8) 



where A and B are scale and location parameters, respectively. The in- 

 verse of the function in Equation 8 is 



11 



