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DRANDLOGISTIC / SRANDLOGISTICGenerates a vector of random variates from a logistic distribution with probability density function, f(X), where: f(X) = [exp((X - A) / B)] / [B * (1 + exp((X - A) / B))^2].
(Note that SRANDLOGISTIC is the single precision version of DRANDLOGISTIC. The argument lists of both routines are identical except that any double precision arguments of DRANDLOGISTIC are replaced in SRANDLOGISTIC by single precision arguments - type REAL in FORTRAN or type float in C).
— Input: DOUBLE PRECISION B
On input: spread of the distribution. B = SQRT(3) * SIGMA / PI, where SIGMA is the standard deviation of the distribution.
Constraint: B>0.— Input/Output: INTEGER STATE(*)
The STATE vector holds information on the state of the base generator being used and as such its minimum length varies. Prior to calling
DRANDLOGISTICSTATE must have been initialized. See Initialization of the Base Generators for information on initialization of the STATE variable.
On input: the current state of the base generator.
On output: the updated state of the base generator.
Example:
C Generate 100 values from the Logistic distribution
INTEGER LSTATE,N
PARAMETER (LSTATE=16,N=100)
INTEGER I,INFO,SEED(1),STATE(LSTATE)
DOUBLE PRECISION A,B
DOUBLE PRECISION X(N)
C Set the seed
SEED(1) = 1234
C Read in the distributional parameters
READ(5,*) A,B
C Initialize the STATE vector
CALL DRANDINITIALIZE(1,1,SEED,1,STATE,LSTATE,INFO)
C Generate N variates from the Logistic distribution
CALL DRANDLOGISTIC(N,A,B,STATE,X,INFO)
C Print the results
WRITE(6,*) (X(I),I=1,N)
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