Let
be numeric observations or a random variable. Find the value
that
minimizes the function
.
Help me to solve this problem, thankyou very much.
Let be numeric observations or a random variable. Find the value that minimizes the function ....
Let A be a continuous random variable with probability
density function
Random variable D is given by
----------------------------------------------------------------------------------------------------------------
(a) What is the probability density function of D?
specify the domain of D.
Answer is
-
-
(b) Find E(D) and Var(D).
fa(a) = -a? 9 0<A<3 We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
1. Let X be a discrete random variable with a cumulative distribution function: a. Use this cdf to fin the limiting distribution of the random variable when with , as n increases. Use the fact b. What kind of random variable is for large value of n? We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imagep= We were unable to transcribe this imageWe were unable to transcribe this imageWe were...
STATISTICS Let be a simple random sample of a given random variable with density function , , , Calculate a sufficient statistic for and an unbiased estimator for which is function of the previous sufficient statistic. Thank you for your explanations We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable...
Let
be a simple random sample of a random variable X with density
function
, .
Given the statistic :
Calculate a statistic ( function of ) such that its espected
value is equal to
.
Thank you for your explanations
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STATISTICS Let a random simple sample of a random variable with density function , Calculate, for , a maximum likelihood estimator , and determine if it is a consistent estimator. Thank you for your explanations. We were unable to transcribe this imagef (x | θ) = e--(1-9) We were unable to transcribe this imageWe were unable to transcribe this image f (x | θ) = e--(1-9)
Define a random variable , and a new random variable Y, such that 1) Find the density function of Y.( Instruction: Find the the cumulative distribution function and the derivative it) 2) Find the expectation of Y for (Hint: look for its connection with normal distribution of random variable) T~erp(A) We were unable to transcribe this imageWe were unable to transcribe this image
Let X ~ Poisson(). Show that as , converges in distribution to a random variable Y and find the distribution of Y. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Suppose that Z is a continuous random variable. Let
denote
the unnormalized PDF of Z ―the function
satisfies all properties of a PDF except that it is not
normalized. Now suppose we use to compute
something like the moment generating function (MGF), i.e., we
compute the function
What is ? How
can we use to
normalize the PDF?
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Let
be a sequence of random variables, and let Y be a random
variable on the same sample space. Let An(ϵ) be the
event that |Yn − Y | > ϵ. It can be shown that a
sufficient condition for Yn to converge to Y w.p.1 as
n → ∞ is that for every ϵ > 0,
(a) Let
be independent uniformly distributed random variables on [0, 1],
and let Yn = min(X1, . . . , Xn).
In class,...
Let Z be a random variable where P(X<0) = 0:
a) If
, what is
?
b) If
, what is P = [Z = E(Z)] ?
c) If
, what is
?
6,(W) = jw We were unable to transcribe this imageD() = *(1 + exp(2jw) We were unable to transcribe this imageWe were unable to transcribe this image