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Arkansas Medicaid’s claims processing system is unable to accept a claim for services provided to an ineligible individual or to suspend that claim until the individual is retroactively eligible for the claim dates of service. To resolve this dilemma, Arkansas Medicaid considers the pseudo beneficiary identification number 9999999999 to ...
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It should not be repeatedly seeded, or reseeded every time you wish to generate a new batch of pseudo-random numbers. Standard practice is to use the result of a call to srand (time (0)) as the seed. However, time () returns a time_t value which vary everytime and hence the pseudo-random number vary for every program call.
I did some more focused research on this topic, and I found that interpretations of McFadden’s pseudo R 2 (also known as likelihood-ratio index) are not clear; however, it can range from 0 to 1, but will never reach or exceed 1 as a result of its calculation.
A pseudo-random number generator is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. Computer based random number generators are almost always pseudo-random number generators. Yet, the numbers generated by pseudo-random number generators are not truly random.