Density function, distribution function, quantile function and random number generation for the sum of independent non-identical binomial distribution with parameters size and prob.

ABSTRACT: The purpose of this study is to compare a negative binomial distribution with a negative binomial—Lindley by using stochastic orders. We characterize the comparisons in usual stochastic ...

We want to generate 10,000 Uniformly distributed random number on [0,1] using LGM and compare with built-in python function. LGM empirical mean = 0.4996 LGM empirical standard deviation = 0.2872 Built ...

If the probability that a randomly selected person will vote in the next election is 0.39, how would we find the probability that more than half of the people in a sample of 1000 will vote? Since the ...

1 Department of Mathematics, Pan African University, Institute of Basic Science, Technology and Innovation (PAUSTI), Nairobi, Kenya. 2 Department of Statistics and Actuarial Sciences, Jomo Kenyatta ...