The binomial distribution is a discrete probability distribution that models the probability of getting ... The shape of the graph depends on the parameters \(n\) (number of trials) and \(p\) ...

A discrete random variable is a type of random variable that can take ... If one person is selected at random from the 20 people, the probabilities of the sample space can be represented as a graph ...

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Abstract: A recursive estimation scheme suitable for real-time implementation is derived for a class of nolinear systems and observations expressed as nonlinear functions in discrete time, corrupted ...

This paper presents a comprehensive survey of discrete probability distributions used in reliability for modeling discrete lifetimes of nonrepairable systems. The basic properties of each model are ...

When data points on a bell curve are not distributed symmetrically ... These two skews show the direction or weight of the distribution. The three probability distributions below are right-skewed ...

New lower bounds are presented for the minimum error probability that can be achieved through the use of block coding on noisy discrete memoryless channels. Like ...

Section 3 is devoted to the derivation of MD’s distribution. Section 4 validates the above derivation by comparing the results with Monte Carlo simulations. Conclusions are presented in the last ...

A set D ⊆ V for the graph G = (V, E) is called a dominating set if any vertex v ∈ V \ D has at least one neighbor in D.Fomin et al. [Combinatorial bounds via measure and conquer: Bounding minimal ...

The evidence supporting this claim is compelling, demonstrating that SPNs uniquely integrate sparse input from variable stretches across the barrel cortex. The study would be of interest to basal ...