From textbook:
"Let X have a negative binomial distribution with parameters r and p such that:
Find E[X] and Var[X] without using the definition; instead, consider how X can be written as a sum of independent random variables."
Question: How do I do this?
From textbook: "Let X have a negative binomial distribution with parameters r and p such that:...
Let X be a random variable, which has a binomial distribution with parameters n and p. It is known that E(X) = 12 and Var(X) = 4. Find n and p.
Let M have a binomial distribution with parameters N and p. Conditioned on M, the random variable X has a binomial distribution with parameters M and (a) Determine the marginal distribution for X (b) Determine the covariance between X and Y M- X
Problem 7 (15 points). Let X be random variable with the binomial distribution with parameters n and 0 <p<1. (1) Show that **- 1 = 2* for any 1 Sxsn. (2) Show that when 0 < x < (n + 1)p, P(X = x) is an increasing function x and for (n + 1)p <x Sn, P(X = x) is a decreasing function x. (3) A certain basketball player makes a foul shot with probability 0.80. Determine for whal value...
are independent variables from Negative Binomial distribution with parameters (known) and . Find the maximum likelihood estimator of .
X is a negative binomial random variable with parameters. r=1 and P(S)=p p=62/100. Show that the probability mass function for x is well defined. That it satisfies the requirement for any discrete pmf
Suppose that X is a random variable from a binomial distribution with parameters n=12 and p. Consider the point estimate p̂=X/14 1. what's the bias of this estimate? 2. what is the value of the mean square error of this estimate if the actual value of p is 0.735
Let X be random variable with the binomial distribution with parameters n and 0 < p < 1. (1) Show that (P(X = x) / P(X = x -1)) - 1 = np + (p - x)) / (x(1-p)) for any 1 ≤ x ≤ n. (2) Show that when 0 ≤ x < (n + 1)p , P(X = x) is an increasing function x and for (n + 1)p < x ≤ n, P(X = x) is a...
Let X, Y be independent random variables where X is binomial(n = 4, p = 1/3) and Y is binomial(n = 3,p = 1/3). Find the moment-generating functions of the three random variables X, Y and X + Y . (You may look up the first two. The third follows from the first two and the behavior of moment-generating functions.) Now use the moment-generating function of X + Y to find the distribution of X + Y .
Ex 2 Definition: A random variable X is said to have a binomial distribution and is referred to as a binomial random variable, if and only if its probability distribution is given by P(X-x)"C.pq" for x -0, 1,2,.., If X~B (n, p), then . E(X)= np and Var(X)=np(1-p) Notation for the above definition: n number of trials xnumber of success among n trials p probability of success in any one trial q probability of failure in any one trial Example...
Consider the binomial distribution with parameters n 10 and p (unknown) a) Is this binomial distribution an exponential family distribution? b) Find a sufficient statistic for p.