Let T denote the lifetime of an individual having the cumulative distribution function - Exp(-+-+²). F(t) = P(T ≤ t) = 1 - exp Denote by Tx := T − x the remaining lifetime of an individual aged x > 0. The curtate lifetime Kx = [Tx] defines the integer part of T, as such that P(Kx = k) = P(k ≤ Tx < k + 1). (a) Specify the survival distribution Sx(t) := P(Tx > t) of individual aged x. (b) Determine the mortality rate of the individual by working out the limit below µx(t) := lim - P(t ≤ Tx < t + h|Tx ≥ t) ho h (c) Find the probability mass function P(Kx = k) of curtate lifetime Kx. (d) Show that the expected curtate lifetime E[K,] is given by the following formula ∞ E[K] = P(Tx ≥k). k=1

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3. Let T denote the lifetime of an individual having the cumulative distribution function
- exp(-1/²)
F(t) = P(T ≤t) = 1 - exp
Denote by Tx := T − x the remaining lifetime of an individual aged x > 0.
The curtate lifetime Kx = [Tx] defines the integer part of Tx as such that
P(Kx = k) = P(k ≤ Tx < k + 1).
(a) Specify the survival distribution S x(t) := P(Tx > t) of individual aged x.
(b) Determine the mortality rate of the individual by working out the limit below
ux(t): lim -P(t ≤ Tx < t + h|Tx ≥ t)
ho h
(c) Find the probability mass function P(K, = k) of curtate lifetime K.
(d) Show that the expected curtate lifetime E[K] is given by the following formula
∞
E[Kx] = ΣP(Tx ≥ k).
k=1
Transcribed Image Text:3. Let T denote the lifetime of an individual having the cumulative distribution function - exp(-1/²) F(t) = P(T ≤t) = 1 - exp Denote by Tx := T − x the remaining lifetime of an individual aged x > 0. The curtate lifetime Kx = [Tx] defines the integer part of Tx as such that P(Kx = k) = P(k ≤ Tx < k + 1). (a) Specify the survival distribution S x(t) := P(Tx > t) of individual aged x. (b) Determine the mortality rate of the individual by working out the limit below ux(t): lim -P(t ≤ Tx < t + h|Tx ≥ t) ho h (c) Find the probability mass function P(K, = k) of curtate lifetime K. (d) Show that the expected curtate lifetime E[K] is given by the following formula ∞ E[Kx] = ΣP(Tx ≥ k). k=1
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