A Course in Ocean Engineering ~
~ Extremes in Exponential Gamma Distributed Sample ~ *44134# ~
Extreme values and extreme value distributions for the largest and smallest
specimen in generalised exponential gamma distributed observations.
(Default values from Section 1.4.4).

Input Data:
Distribution Parameters:
Shape parameter, a: . . . . . . . . . . . . 
Dispersion parameter, v:. . . . . . . . . . 
Mode parameter, u:. . . . . . . . . . . . . 
Sample size, N: . . . . . . . . . . . . . . 
  Alternative: Log sample size, Log N:. . . . . 

Step length:      Repetitions:   No repeat:

Your name:          
Report Heading:

Sections Included in the Report:
Introduction. (Main data only: )
Distribution Parameters and Moments. (Main data only: )
Extreme Value and Distribution. (Main data only: )

Significant Digits in Results:
2: 3: 4: 5: 6: 7: All with exponent Integers without dec.point:

Spreadsheet Heading:

Line Spaces in Spreadsheet:
Space per 5.line: Per 10.line: Per 25.line: No spaces:

Auxiliary Starter:

Variables Included in the Spreadsheet:

Largest Value:
Characteristic largest value, xc.
Most probable largest value, xm.
Expected largest value, E(x).
Standard deviation of largest value, sigma.
Coefficient of skewness, L3.
Distribution Parameters of Largest Value:
Shape parameter.
Dispersion or slope parameter.
Mode or scale parameter.
Auxiliary Starter:
Smallest Value:
Characteristic smallest value, xc.
Most probable smallest value, xm.
Expected smallest value, E(x).
Standard deviation of smallest value, sigma.
Coefficient of skewness, L3.
Distribution Parameters for smallest value:
Shape parameter.
Dispersion or slope parameter.
Mode or scale parameter.
A Course in Ocean Engineering ~
Software is not verified - no responsibility for errors.