Article ID Journal Published Year Pages File Type
1148128 Journal of Statistical Planning and Inference 2010 7 Pages PDF
Abstract

The q-Bernstein basis, used in the definition of the q-Bernstein polynomials, is shown to be the probability mass function of a q-binomial distribution. This distribution is defined on a sequence of zero–one Bernoulli trials with probability of failure at any trial increasing geometrically with the number of previous failures. A modification of this model, with the probability of failure at any trial decreasing geometrically with the number of previous failures, leads to a second q-binomial distribution that is also connected to the q-Bernstein polynomials. The q-factorial moments as well as the usual factorial moments of these distributions are derived. Further, the q-Bernstein polynomial Bn(f(t),q;x) is expressed as the expected value of the function f([Xn]q/[n]q) of the random variable Xn obeying the q-binomial distribution. Also, using the expression of the q-moments of Xn, an explicit expression of the q-Bernstein polynomial Bn(fr(t),q;x), for fr(t) a polynomial, is obtained.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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