Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Advances in Applied Probability, Vol. 45, No. 3 (SEPTEMBER 2013), pp. 876-893 (18 pages) For a family of linear preferential attachment graphs, we provide rates of convergence for the total variation ...

We present a simple algorithm that computes the convolution of Poisson, negative binomial, and geometric distributions. We show that a certain infinite-server queue in a random facility repair ...

This research proposes a new estimation scheme to solve the estimation burden of the Pareto/NBD model and to release its power in out-of-sample prediction and then builds a neural network-based model ...

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Covariance: a measure of the direction of the linear relationship between two variables. Discrete ...

The binomial distribution is an important discrete distribution. It gives the probability of the number of "successes," in a sequence of n independent binary trials. This applet allows users to drag ...

This study extends the Poisson binomial distribution by introducing correlation and dependence between binomial events, enhancing its ability to capture complex event types and improving model ...