The probability generating function of the discrete nonnegative integer valued random variable X having probability mass function p j , j ≥ 0 , is defined by ϕ ( s ) = E [ s X ] = ∑ j = 0 ∞ p j s j Let Y be a geometric random variable with parameter p = 1 − s , where 0 < s < 1 . Suppose that Y is independent of X, and show that ϕ ( s ) = P { X < Y } .
The probability generating function of the discrete nonnegative integer valued random variable X having probability mass function p j , j ≥ 0 , is defined by ϕ ( s ) = E [ s X ] = ∑ j = 0 ∞ p j s j Let Y be a geometric random variable with parameter p = 1 − s , where 0 < s < 1 . Suppose that Y is independent of X, and show that ϕ ( s ) = P { X < Y } .
Solution Summary: The author explains the probability generating function of the discrete nonnegative integer values random variable X, having the mass function
The probability generating function of the discrete nonnegative integer valued random variable X having probability mass function
p
j
,
j
≥
0
, is defined by
ϕ
(
s
)
=
E
[
s
X
]
=
∑
j
=
0
∞
p
j
s
j
Let Y be a geometric random variable with parameter
p
=
1
−
s
, where
0
<
s
<
1
. Suppose that Y is independent of X, and show that
ϕ
(
s
)
=
P
{
X
<
Y
}
.
Starting with the finished version of Example 6.2, attached, change the decision criterion to "maximize expected utility," using an exponential utility function with risk tolerance $5,000,000. Display certainty equivalents on the tree.
a. Keep doubling the risk tolerance until the company's best strategy is the same as with the EMV criterion—continue with development and then market if successful.
The risk tolerance must reach $ 160,000,000 before the risk averse company acts the same as the EMV-maximizing company.
b. With a risk tolerance of $320,000,000, the company views the optimal strategy as equivalent to receiving a sure $____________ , even though the EMV from the original strategy (with no risk tolerance) is $ 59,200.
Starting with the finished version of Example 6.2, attached, change the decision criterion to "maximize expected utility," using an exponential utility function with risk tolerance $5,000,000. Display certainty equivalents on the tree.
a. Keep doubling the risk tolerance until the company's best strategy is the same as with the EMV criterion—continue with development and then market if successful.
The risk tolerance must reach $ ____________ before the risk averse company acts the same as the EMV-maximizing company.
b. With a risk tolerance of $320,000,000, the company views the optimal strategy as equivalent to receiving a sure $____________ , even though the EMV from the original strategy (with no risk tolerance) is $ ___________ .
A television network earns an average of $14 million each season from a hit program and loses an average of $8 million each season on a program that turns out to be a flop. Of all programs picked up by this network in recent years, 25% turn out to be hits and 75% turn out to be flops. At a cost of C dollars, a market research firm will analyze a pilot episode of a prospective program and issue a report predicting whether the given program will end up being a hit. If the program is actually going to be a hit, there is a 75% chance that the market researchers will predict the program to be a hit. If the program is actually going to be a flop, there is only a 30% chance that the market researchers will predict the program to be a hit.
What is the maximum value of C that the network should be willing to pay the market research firm? Enter your answer in dollars, not in million dollars.
$ __________
Calculate EVPI for this decision problem. Enter your answer in dollars, not in million…
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Continuous Probability Distributions - Basic Introduction; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=QxqxdQ_g2uw;License: Standard YouTube License, CC-BY
Probability Density Function (p.d.f.) Finding k (Part 1) | ExamSolutions; Author: ExamSolutions;https://www.youtube.com/watch?v=RsuS2ehsTDM;License: Standard YouTube License, CC-BY
Find the value of k so that the Function is a Probability Density Function; Author: The Math Sorcerer;https://www.youtube.com/watch?v=QqoCZWrVnbA;License: Standard Youtube License