Suppose that the fractional part S = T - K, with curtate lifetime K = [7], of lifetime T is assumed to be uniformly distributed on [0, 1). This assumption may be useful in the interpolation of time-to-event probability distribution for continuous lifetime. (a) Let F be distribution of T. Define F(x + s) = P(Tx≤s), f(x+s) = F(x+ s), f(x + s) 1- F(x + s) Let qx λx+s= = P(x ≤ T < x + 1|7 ≥x). Show for s = [0, 1) that VxEN. qx 1 - sqx (b) The parameter qx is estimated from n independent samples Ti, i = 1, ... , n using 1{x
Suppose that the fractional part S = T - K, with curtate lifetime K = [7], of lifetime T is assumed to be uniformly distributed on [0, 1). This assumption may be useful in the interpolation of time-to-event probability distribution for continuous lifetime. (a) Let F be distribution of T. Define F(x + s) = P(Tx≤s), f(x+s) = F(x+ s), f(x + s) 1- F(x + s) Let qx λx+s= = P(x ≤ T < x + 1|7 ≥x). Show for s = [0, 1) that VxEN. qx 1 - sqx (b) The parameter qx is estimated from n independent samples Ti, i = 1, ... , n using 1{x
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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Please do the following questions with handwritten working out
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0
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Table 1: Table of mortality rates.
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Transcribed Image Text:Age(x)
0
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2345
2
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Ix
lx
Age(x)
103 0
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103 0 16
103
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100 1
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99 1
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98 3
95 2
93
dx
dx
lx
dx
64 4
60 4
56 7
49
39
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33 3
30 10
434
20
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1 22
92 2
23
90 4
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86 4
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82
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79
27
75
3
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72 8
29
1 1
Table 1: Table of mortality rates.
20
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12 4
5
10
5
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2
8
3
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![Suppose that the fractional part S = T - K, with curtate lifetime K = [T], of lifetime T
is assumed to be uniformly distributed on [0, 1). This assumption may be useful in the
interpolation of time-to-event probability distribution for continuous lifetime.
(a) Let F be distribution of T. Define F(x + s) = P(Tx ≤ s), ƒ(x + s) = ¼F(x + s),
f(x + s)
1- F(x + s)
Let qx = P(x ≤ T < x + 1|T ≥ x). Show for s = [0, 1) that
qx
Vx € N.
1 - sqx
λx+s
λx+s
=
=
(b) The parameter qx is estimated from n independent samples T;, i = 1, ..., n using
1{x<T;<x+1}
n
i=1
n
Σ 1{Tzx}
i=1
Show that is a consistent estimator of qx.
(c) Using estimator of qx in 1(b), derive an estimate for + in terms of dx and lx.
(d) Deduce from equation (1) the central exposed to risk E
aged x.
(e) Use Table 1
and calculate the estimates x,x+
Ix
and Ex](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fba18de34-fc06-47a6-b1ea-c54726b84874%2F6e3d27a3-0cec-42a7-bd8f-013026e8f62d%2Ff99vik_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Suppose that the fractional part S = T - K, with curtate lifetime K = [T], of lifetime T
is assumed to be uniformly distributed on [0, 1). This assumption may be useful in the
interpolation of time-to-event probability distribution for continuous lifetime.
(a) Let F be distribution of T. Define F(x + s) = P(Tx ≤ s), ƒ(x + s) = ¼F(x + s),
f(x + s)
1- F(x + s)
Let qx = P(x ≤ T < x + 1|T ≥ x). Show for s = [0, 1) that
qx
Vx € N.
1 - sqx
λx+s
λx+s
=
=
(b) The parameter qx is estimated from n independent samples T;, i = 1, ..., n using
1{x<T;<x+1}
n
i=1
n
Σ 1{Tzx}
i=1
Show that is a consistent estimator of qx.
(c) Using estimator of qx in 1(b), derive an estimate for + in terms of dx and lx.
(d) Deduce from equation (1) the central exposed to risk E
aged x.
(e) Use Table 1
and calculate the estimates x,x+
Ix
and Ex
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