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prob [2012/12/06 18:41] ignacyprob [2012/12/06 19:08] ignacy
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 ''x=gen_uniform(a,b)''\\ ''x=gen_uniform(a,b)''\\
 a,b - both real (r*) or both integers or both missing.\\ a,b - both real (r*) or both integers or both missing.\\
-If a,b are missing, generates samples from uniform(0,1) distribution\\ +If a,b are missing, generates samples from uniform(0,1) distribution \\ 
-If a,b are real (r8), generates samples from uniform(a,b) distribution\\ +If a,b are real (r8), generates samples from uniform(a,b) distribution \\ 
-If a,b are integers, generates random integer between a and b\\+If a,b are integers, generates random integer between a and b \\
 \\ \\
    
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 \\ \\
  
- +''x=gen_invwishart(inv_q_form,df)''\\
-''x=gen_invwishart(inv_q_form,df)'' +
- +
 inv_q_form - (r8) scalar or square matrix containing inverse of quadratic form\\ inv_q_form - (r8) scalar or square matrix containing inverse of quadratic form\\
 df         - an integer containing degrees of freedom\\ df         - an integer containing degrees of freedom\\
Line 57: Line 55:
 \\ \\
  
-y=normal_invcdf(x) +''y=normal_invcdf(x)''\\
 x - real (r8) scalar in the range of <0,1>\\ x - real (r8) scalar in the range of <0,1>\\
 y - real (r8) as in: x=normal_cdf(y)\\ y - real (r8) as in: x=normal_cdf(y)\\
Line 65: Line 62:
 ''y=generate_trunc_normal(a,b,mean,var)''\\ ''y=generate_trunc_normal(a,b,mean,var)''\\
 y - real (r8) scalar or vector\\ y - real (r8) scalar or vector\\
- 
 a,b - real (r8) lower and upper bound of random samples\\ a,b - real (r8) lower and upper bound of random samples\\
- 
 mean - real(r8) scalar or vectors of mean, optional if scalar\\ mean - real(r8) scalar or vectors of mean, optional if scalar\\
- 
 var - real(r8) variance or covariance matrix, optional if scalar\\ var - real(r8) variance or covariance matrix, optional if scalar\\
 \\ \\
prob.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1

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