a) Find the analytic MLE formula for exponential distribution
exp(λ). Show that MLE is the same as MoM estimator here. (b) A
random sample of size 6 from the exp(λ) distribution results in
observations: 1.636, 0.374, 0.534, 3.015, 0.932, 0.179. Find the
MLE on this data set in two ways: by numerical optimization of the
likelihood and by the analytic formula. For (b): please give both
values from the analytic MLE formula and numerical MLE solution on
this data set....
Find the (probability generating function) p.g.f.’s of the
following distributions:[3+3=6]
•P(X=x) =(exp(−λ)λ^x)/((1−exp(−λ))x!) , for x= 1,2,3,..., and λ
>0.
•P(X=x) =((pq)^x)(1−q^(N+1))^−1,for x= 0,1,..., N; where 0 <
p < 1, p+q= 1.
Let X ~ exp(λ)
MGF of X = λ/(1-t)
a) What is MGF of Y = 3X
b) Y has a common distribution, what is the pdf of Y?
c) Let X1,X2,....Xk be independent and identically distributed
with Xi ~ exp(λ) and S = Σ Xi (with i = 1 below
the summation symbol, and k is on top of the summation symbol).
What is the MGF of S?
d) S has a common distribution. What is the pdf of...
Taylor series
f(xi+1)=f(xi)+f'(xi)h+(f''(xi)/2!)h2+(f'''(xi)/3!)h3+.....
given
f''(xi)=(-f(xi+3)+4f(xi+2)-5f(xi+1)+2f(xi))/h2
what is the order of error o(h2)
Let Xi = lunch condition on day i (rice/noodles)
P(Xi+1 = rice| Xi-1 = rice, Xi = rice)
= 0.7
P(Xi+1 = rice| Xi-1 = noodles, Xi =
rice) = 0.6
P(Xi+1 = rice| Xi-1 = rice, Xi =
noodles) = 0.3
P(Xi+1 = rice| Xi-1 = noodles, Xi =
noodles) = 0.55
Q1. Is {Xn} a Markov Chains? Why?
Q2. How to transform the process into
a M.C. ?
The exponential distribution with rate λ has mean μ = 1/λ. Thus
the method of moments estimator of λ is 1/X. Use the following
steps to verify that X is unbiased, but 1/X is biased.
a) Generate 10000 samples of size n = 5 from the standard
exponential distribution (i.e. λ = 1) using rexp(50000) and
arranging the 50000 random numbers in a matrix with 5 rows.
b) Use the apply() function to compute the 10000 sample means
and store...
Suppose X and Y are independent variables and X~ Bernoulli(1/2)
and Y~ Bernoulli(1/3) and Z=X+Y
A- find the joint probability table
B- find the probility distribution table of Z
C- find E(X+Y)
D- find E(XY)
E- find Cov(X, Y)
Normal
mu
722
sigma
189
xi
P(X<=xi)
151
0.0013
263
0.0076
532
0.1574
721
0.4979
810
0.6793
961
0.8970
P(X<=xi)
xi
0.11
490.1862
0.12
499.9275
0.24
588.5088
0.31
628.2843
0.38
664.2641
0.76
855.4912
0.89
953.8138
Use the cumulative normal probability excel output above (dealing
with the amount of money parents spend per child on back-to-school
items) to answer the following question.
The probability is 0.38 that the amount spent on a randomly
selected child will be between two values (in...