Hello, My name is Decha.

For random number from distribution by specific seed in Wolfram. There are normally as

dist = UniformDistribution[{3467, 87543}];

SeedRandom[46730]

RandomVariate[dist]"

1. I read in Wolfram document. If distribution is non-uniform, can I use RandomInteger[dist], RandomReal[dist]? Is result same with RandomVariate or not?

2. Wolfram have method of pseudorandom as Congruential, ExtendedCA, Legacy, MersenneTwister, MKL, ParallelGenerator, ParallelMersenneTwister, Rule30CA .

For

dist = UniformDistribution[{3467, 87543}];

SeedRandom[46730]

RandomVariate[dist] 

If I don't type method as above, what is normally of method using?

If I need to specific method. Is as below correct?

2.1  dist = UniformDistribution[{3467, 87543}];

SeedRandom[46730,Method -> "ExtendedCA"]

RandomVariate[dist] 

2.2  BlockRandom[SeedRandom[46730, Method -> "ExtendedCA"]; 

RandomVariate[UniformDistribution[{3467, 87543}]]     

2.3  BlockRandom[SeedRandom[46730, Method -> #];

RandomVariate[UniformDistribution[{3467, 87543}] &, {"Congruential", "ExtendedCA", "Legacy",
"MersenneTwister", "MKL", "Rule30CA"}]

If I use Wolfram for only this, very little, I don't need to use Blockrandom. If many, I should use block random.

I thank you for your answer. Thank you again. Decha Promtem