In computing the dosage for chemotherapy, the measure of a patient’s body surface area is needed. A good approximation of this area, in square meters ( m 2 ) , is given by s = h w 3600 , where w is the patient’s weight in kilograms (kg) and h is the patient’s height in centimeters (cm). (Source: U.S. Oncology.) Use this information for Exercises 73 and 74. Round your answers to the nearest thousandth. Assume that a patient’s height is 170 cm. Find the patient’s approximate surface area assuming that: a. The patient’s weight is 70 kg. b. The patient’s weight is 100 kg. c. The patient’s weight is 50 kg.
In computing the dosage for chemotherapy, the measure of a patient’s body surface area is needed. A good approximation of this area, in square meters ( m 2 ) , is given by s = h w 3600 , where w is the patient’s weight in kilograms (kg) and h is the patient’s height in centimeters (cm). (Source: U.S. Oncology.) Use this information for Exercises 73 and 74. Round your answers to the nearest thousandth. Assume that a patient’s height is 170 cm. Find the patient’s approximate surface area assuming that: a. The patient’s weight is 70 kg. b. The patient’s weight is 100 kg. c. The patient’s weight is 50 kg.
In computing the dosage for chemotherapy, the measure of a patient’s body surface area is needed. A good approximation of this area, in square meters
(
m
2
)
, is given by
s
=
h
w
3600
,
where w is the patient’s weight in kilograms (kg) and h is the patient’s height in centimeters (cm). (Source: U.S. Oncology.) Use this information for Exercises 73 and 74. Round your answers to the nearest thousandth.
Assume that a patient’s height is 170 cm. Find the patient’s approximate surface area assuming that:
The OU process studied in the previous problem is a common model for interest rates.
Another common model is the CIR model, which solves the SDE:
dX₁ = (a = X₁) dt + σ √X+dWt,
-
under the condition Xoxo. We cannot solve this SDE explicitly.
=
(a) Use the Brownian trajectory simulated in part (a) of Problem 1, and the Euler
scheme to simulate a trajectory of the CIR process. On a graph, represent both the
trajectory of the OU process and the trajectory of the CIR process for the same
Brownian path.
(b) Repeat the simulation of the CIR process above M times (M large), for a large
value of T, and use the result to estimate the long-term expectation and variance
of the CIR process. How do they compare to the ones of the OU process?
Numerical application: T = 10, N = 500, a = 0.04, x0 = 0.05, σ = 0.01, M = 1000.
1
(c) If you use larger values than above for the parameters, such as the ones in Problem
1, you may encounter errors when implementing the Euler scheme for CIR. Explain
why.
#8 (a) Find the equation of the tangent line to y = √x+3 at x=6
(b) Find the differential dy at y = √x +3 and evaluate it for x=6 and dx = 0.3
Q.2 Q.4 Determine ffx dA where R is upper half of the circle shown below.
x²+y2=1
(1,0)
Elementary Statistics: Picturing the World (7th Edition)
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