In a hypothetical infinite sequence of trials, let \(U\) denote the number of trials necessary for \(R\) to win \(m + 1\) trials, and \(V\) the number of trials necessary for \(L\) to win \(m + 1\) trials. For the Bernoulli and binomial distributions, the parameter is a single probability, indicating the likelihood of occurrence of a single event. Specifically, we can consider a match from the right pocket as a win for player \(R\), and a match from the left pocket as a win for player \(L\). En teoría de probabilidad y estadística, la Distribución Binomial Negativa es una distribución de probabilidad discreta que incluye a la distribución de Pascal. In probability theory and statistics, the negative binomial distribution is a discrete probability distribution that models the number of failures in a sequence of independent and identically distributed Bernoulli trials before a specified (non-random) number of successes (denoted ) occurs.
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