A Modified Congruence Method of Generating Pseudo-random Numbers

Generating Gaussian Pseudo-Random Deviates

Pseudo - Random Numbers : Out of Uniform

Pseudo-random numbers – both uniform and non-uniform – are used in random sampling, simulation, and Monte-Carlo estimation. Base SAS software contains numerous random number, quantile, and probability functions allowing the user to generate a selection of nominal, discrete, and continuous random variates. Other variates may be generated with a data step, often making use of SAS functions. We wi...

Generating Antithetic Random Variates in Simulation of a Replacement Process by Rejection Method

When the times between renewals in a renewal process are not exponentially distributed, simulation can become a viable method of analysis. The renewal function is estimated through simulation for a renewal process simulation for a renewal process with gamma distributed renewal times and the shape parameter a > 1. Gamma random deviates will be generated by means of the so called Acceptance Rejec...

Steganography using Cryptography and Pseudo Random Numbers

When it comes to information hiding it is always a question whether to use Steganography or cryptography. Cryptography scrambles the message so that is it unrecognizable and without proper key the Encrypted message is useless. With the help of steganography messages can be passed over the network discreetly as it provides secure data hiding. It is very challenging and emerging field of research...

Pseudo Random Numbers: Generation and Quality Checks

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