User Tools

Site Tools


beta_generalized_distribution

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Next revision
Previous revision
beta_generalized_distribution [2023/01/20 13:28]
daria created
beta_generalized_distribution [2023/01/23 10:57] (current)
daria
Line 8: Line 8:
 f(x,alpha,beta,min,max) =  //( ( ( (x-min)/(max-min) ) ^(alpha-1) )*(1-( (x-min)/(max-min) ) )^ (beta-1))/(Beta(alpha,beta)-min/(max-min) )// f(x,alpha,beta,min,max) =  //( ( ( (x-min)/(max-min) ) ^(alpha-1) )*(1-( (x-min)/(max-min) ) )^ (beta-1))/(Beta(alpha,beta)-min/(max-min) )//
  
-where  +where //Beta// (the beta function)  is a normalization constant to ensure that the total probability is 1 and has next formula  
  
 Beta(alpha,beta) = //integral from 0 to 1 of t^(alpha-1)*(1-beta)^(alpha-1) dt// Beta(alpha,beta) = //integral from 0 to 1 of t^(alpha-1)*(1-beta)^(alpha-1) dt//
Line 14: Line 14:
  
 ^Parameter^Description            ^Default value^ ^Parameter^Description            ^Default value^
-|       |The first scale (min)  |0.0          +|alpha        |The first shape parameter  |2.0         
-|b        |The second scale (max) |1.0          | +|beta       |The second shape |2.0          | 
-|       |The shape (most likely)|0.0          | +|Min        |The minimum value)|0.0          | 
-|lambda   |The third scale        |4.0          |+|Max  |The maximum value       |1.0          |
beta_generalized_distribution.1674217691.txt.gz · Last modified: 2023/01/20 13:28 by daria