Jul 26, 2021 · This number p in Bern (p) is called the parameter of the distribution; it determines which specific Bernoulli distribution we have. Thus there is not just one Bernoulli distribution, but rather a …

Apr 17, 2023 · More generally, why is the binomial distribution's variance the product of the number of trials, probability of success, and probability of failure, i.e. $\mathrm {Var} [X] = npq$?

Apr 23, 2017 · Maximum Likelihood Estimation for Bernoulli distribution Ask Question Asked 8 years, 9 months ago Modified 6 years, 2 months ago

Jun 20, 2022 · $\theta = 0$ and $\theta = 1$ are in fact permissible values for the probability parameter of a Bernoulli distribution; knowing this should help resolve your difficulties.

Oct 30, 2017 · I cannot understand how Bernoulli Random Number generator used in numpy is calculated and would like some explanation on it. For example: np.random.binomial(size=3, n=1, p= …

Apr 14, 2021 · 1 In comparing bernoulli_distribution 's default constructor (50/50 chance of true/false) and uniform_int_distribution{0, 1} (uniform likely chance of 0 or 1) I find that bernoulli_distribution s …

Dec 16, 2021 · Preliminaries A mixture of two Bernoulli distributions can model the following random experiment: Given two coins, suppose one of these coins is chosen at random. Then, suppose that …

Oct 14, 2022 · I define the random variable Y as a Bernoulli random variable associated with the second coin toss. a)Find the joint PMF of X and Y. b)Are X and Y independent? My attempt to answer this …

Jun 28, 2018 · 1 I know that a sum of RVs bernoulli distributed with the same parameter p p may be approximated with a normal distribution. My question is whether a single bernoulli RV may be …

Mar 28, 2017 · distributions cumulative-distribution-function approximation bernoulli-distribution poisson-binomial-distribution See similar questions with these tags.