Derive
Using
Formula
Mean Residual Life Function
PDF
MeanResidualLifeFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{x}^{\infty }(t-x){\text{PDF}}[{\mathcal {D}},t]\,dt}{\int _{x}^{\infty }{\text{PDF}}[{\mathcal {D}},t]\,dt}}}
Mean Residual Life Function
PDF
MeanResidualLifeFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{0}^{\infty }t{\text{PDF}}[{\mathcal {D}},x+t]\,dt}{\int _{0}^{\infty }{\text{PDF}}[{\mathcal {D}},x+t]\,dt}}}
Mean Residual Life Function
PDF
MeanResidualLifeFunction
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∞
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\int _{x}^{\infty }t{\text{PDF}}[{\mathcal {D}},t]\,dt}{\int _{x}^{\infty }{\text{PDF}}[{\mathcal {D}},t]\,dt}}}
Mean Residual Life Function
PDF
MeanResidualLifeFunction
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Mean
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}]-x-\int _{-\infty }^{x}(t-x){\text{PDF}}[{\mathcal {D}},t]\,dt}{1-\int _{-\infty }^{x}{\text{PDF}}[{\mathcal {D}},t]\,dt}}}
Mean Residual Life Function
PDF
MeanResidualLifeFunction
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=
(
{
Mean
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Mean
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v
Indeterminate
True
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/;
u
=
support
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1
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1
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∧
v
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support
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=\left({\begin{array}{cc}\{&{\begin{array}{cc}{\text{Mean}}[{\mathcal {D}}]-x&x<u\\-x+{\frac {{\text{Mean}}[{\mathcal {D}}]-\int _{u}^{x}t{\text{PDF}}[{\mathcal {D}},t]\,dt}{\int _{x}^{\infty }{\text{PDF}}[{\mathcal {D}},t]\,dt}}&u\leq x<v\\{\text{Indeterminate}}&{\text{True}}\\\end{array}}\\\end{array}}\right){\text{/;}}u={\text{support}}[{\mathcal {D}}][[1,1]]\land v={\text{support}}[{\mathcal {D}}][[1,2]]}
Mean Residual Life Function
CDF
MeanResidualLifeFunction
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Mean
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x
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CDF
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d
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CDF
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}]-x+\int _{-\infty }^{x}{\text{CDF}}[{\mathcal {D}},t]\,dt}{1-{\text{CDF}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
CDF
MeanResidualLifeFunction
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CDF
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t
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CDF
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{x}^{\infty }(t-x){\frac {\partial {\text{CDF}}[{\mathcal {D}},t]}{\partial t}}\,dt}{1-{\text{CDF}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
CDF
MeanResidualLifeFunction
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=
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CDF
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∂
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t
1
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CDF
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{0}^{\infty }t{\frac {\partial {\text{CDF}}[{\mathcal {D}},t+x]}{\partial t}}\,dt}{1-{\text{CDF}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
CDF
MeanResidualLifeFunction
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∂
CDF
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∂
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d
t
1
−
CDF
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\int _{x}^{\infty }t{\frac {\partial {\text{CDF}}[{\mathcal {D}},t]}{\partial t}}\,dt}{1-{\text{CDF}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Characteristic Function
MeanResidualLifeFunction
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CharacteristicFunction
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π
SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\int _{x}^{\infty }t\left({\mathcal {F}}_{\tau }[{\text{CharacteristicFunction}}[{\mathcal {D}},\tau ]](-t)\right)\,dt}{{\sqrt {2\pi }}{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Characteristic Function
MeanResidualLifeFunction
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2
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τ
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CharacteristicFunction
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d
t
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π
−
(
2
i
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τ
[
CharacteristicFunction
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τ
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x
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {2\int _{x}^{\infty }t\left({\mathcal {F}}_{\tau }[{\text{CharacteristicFunction}}[{\mathcal {D}},\tau ]](-t)\right)\,dt}{{\sqrt {2\pi }}-(2i)\left({\mathcal {F}}_{\tau }\left[{\frac {{\text{CharacteristicFunction}}[{\mathcal {D}},\tau ]}{\tau }}\right](-x)\right)}}}
Mean Residual Life Function
Survival Function
MeanResidualLifeFunction
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Mean
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SurvivalFunction
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SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}]-x+\int _{-\infty }^{x}(1-{\text{SurvivalFunction}}[{\mathcal {D}},t])\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Survival Function
MeanResidualLifeFunction
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SurvivalFunction
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SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-{\frac {\int _{x}^{\infty }(t-x){\frac {\partial {\text{SurvivalFunction}}[{\mathcal {D}},t]}{\partial t}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Survival Function
MeanResidualLifeFunction
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SurvivalFunction
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SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-{\frac {\int _{0}^{\infty }t{\frac {\partial {\text{SurvivalFunction}}[{\mathcal {D}},t+x]}{\partial t}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Survival Function
MeanResidualLifeFunction
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∂
SurvivalFunction
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∂
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t
SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x-{\frac {\int _{x}^{\infty }t{\frac {\partial {\text{SurvivalFunction}}[{\mathcal {D}},t]}{\partial t}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Survival Function
MeanResidualLifeFunction
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Mean
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SurvivalFunction
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∂
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t
SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {{\text{Mean}}[{\mathcal {D}}]+\int _{-\infty }^{x}t{\frac {\partial {\text{SurvivalFunction}}[{\mathcal {D}},t]}{\partial t}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Cumulative Hazard Function
MeanResidualLifeFunction
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CumulativeHazardFunction
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∂
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CumulativeHazardFunction
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SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-{\frac {\int _{0}^{\infty }{\frac {t{\frac {\partial {\text{CumulativeHazardFunction}}({\mathcal {D}},t+x)}{\partial t}}}{e^{{\text{CumulativeHazardFunction}}({\mathcal {D}},t+x)}}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Cumulative Hazard Function
MeanResidualLifeFunction
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x
exp
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CumulativeHazardFunction
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Mean
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CumulativeHazardFunction
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∂
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e
CumulativeHazardFunction
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SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {-x\exp(-{\text{CumulativeHazardFunction}}({\mathcal {D}},x))+{\text{Mean}}[{\mathcal {D}}]-\int _{-\infty }^{x}{\frac {t{\frac {\partial {\text{CumulativeHazardFunction}}({\mathcal {D}},t)}{\partial t}}}{e^{{\text{CumulativeHazardFunction}}({\mathcal {D}},t)}}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Hazard Function
MeanResidualLifeFunction
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(
t
exp
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HazardFunction
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HazardFunction
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t
SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{0}^{\infty }\left(t\exp \left(-\int _{-\infty }^{t+x}{\text{HazardFunction}}[{\mathcal {D}},\tau ]\,d\tau \right)\right){\text{HazardFunction}}[{\mathcal {D}},t+x]\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Hazard Function
MeanResidualLifeFunction
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D
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x
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=
−
x
exp
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−
∫
−
∞
x
HazardFunction
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t
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Mean
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∫
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x
(
t
exp
(
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∫
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∞
t
HazardFunction
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d
τ
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)
HazardFunction
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d
t
SurvivalFunction
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x
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {-x\exp \left(-\int _{-\infty }^{x}{\text{HazardFunction}}[{\mathcal {D}},t]\,dt\right)+{\text{Mean}}[{\mathcal {D}}]-\int _{-\infty }^{x}\left(t\exp \left(-\int _{-\infty }^{t}{\text{HazardFunction}}[{\mathcal {D}},\tau ]\,d\tau \right)\right){\text{HazardFunction}}[{\mathcal {D}},t]\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Inverse CDF
MeanResidualLifeFunction
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−
∞
∞
∫
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∞
∫
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1
t
e
(
i
(
InverseCDF
[
D
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−
t
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x
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ξ
d
τ
d
ξ
d
t
(
2
π
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SurvivalFunction
[
D
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x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{-\infty }^{\infty }\int _{-\infty }^{\infty }\int _{0}^{1}te^{(i({\text{InverseCDF}}[{\mathcal {D}},\tau ]-t-x))\xi }d\tau d\xi dt}{(2\pi ){\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Inverse CDF
MeanResidualLifeFunction
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−
x
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Mean
[
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−
∫
0
CDF
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InverseCDF
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d
t
SurvivalFunction
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {{\text{Mean}}[{\mathcal {D}}]-\int _{0}^{{\text{CDF}}[{\mathcal {D}},x]}{\text{InverseCDF}}[{\mathcal {D}},t]\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Quantile
MeanResidualLifeFunction
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e
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i
(
Quantile
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ξ
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τ
d
ξ
d
t
2
π
SurvivalFunction
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x
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {{\text{Mean}}[{\mathcal {D}}]-{\frac {\int _{-\infty }^{x}\int _{-\infty }^{\infty }\int _{0}^{1}te^{(i({\text{Quantile}}[{\mathcal {D}},\tau ]-t))\xi }d\tau d\xi dt}{2\pi }}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Quantile
MeanResidualLifeFunction
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∞
∫
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e
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i
(
Quantile
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−
t
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ξ
d
τ
d
ξ
d
t
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2
π
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SurvivalFunction
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D
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x
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{-\infty }^{\infty }\int _{-\infty }^{\infty }\int _{0}^{1}te^{(i({\text{Quantile}}[{\mathcal {D}},\tau ]-t-x))\xi }d\tau d\xi dt}{(2\pi ){\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Quantile
MeanResidualLifeFunction
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=
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x
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Mean
[
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−
∫
0
CDF
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Quantile
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d
t
SurvivalFunction
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x
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {{\text{Mean}}[{\mathcal {D}}]-\int _{0}^{{\text{CDF}}[{\mathcal {D}},x]}{\text{Quantile}}[{\mathcal {D}},t]\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Inverse Survival Function
MeanResidualLifeFunction
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=
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−
∞
∞
∫
−
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∞
∫
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t
e
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i
(
InverseSurvivalFunction
[
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t
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ξ
d
τ
d
ξ
d
t
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π
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SurvivalFunction
[
D
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x
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{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{-\infty }^{\infty }\int _{-\infty }^{\infty }\int _{0}^{1}te^{(i({\text{InverseSurvivalFunction}}[{\mathcal {D}},\tau ]-t-x))\xi }d\tau d\xi dt}{(2\pi ){\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Inverse Survival Function
MeanResidualLifeFunction
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=
−
x
+
Mean
[
D
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−
∫
SurvivalFunction
[
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1
InverseSurvivalFunction
[
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d
t
SurvivalFunction
[
D
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x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {{\text{Mean}}[{\mathcal {D}}]-\int _{{\text{SurvivalFunction}}[{\mathcal {D}},x]}^{1}{\text{InverseSurvivalFunction}}[{\mathcal {D}},t]\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Sparsity
MeanResidualLifeFunction
(
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x
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=
∫
−
∞
∞
∫
−
∞
∞
∫
0
1
t
exp
(
(
i
(
Median
[
D
]
+
∫
1
2
τ
Sparsity
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d
s
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ξ
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d
τ
d
ξ
d
t
(
2
π
)
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\int _{-\infty }^{\infty }\int _{-\infty }^{\infty }\int _{0}^{1}t\exp \left(\left(i\left({\text{Median}}[{\mathcal {D}}]+\int _{\frac {1}{2}}^{\tau }{\text{Sparsity}}({\mathcal {D}},s)\,ds-t-x\right)\right)\xi \right)d\tau d\xi dt}{(2\pi ){\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Sparsity
MeanResidualLifeFunction
(
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x
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=
−
x
(
1
−
CDF
[
D
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x
]
)
+
Mean
[
D
]
−
∫
−
∞
x
∫
−
∞
∞
∫
0
1
t
exp
(
(
i
(
Median
[
D
]
+
∫
1
2
τ
Sparsity
(
D
,
s
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d
s
−
t
)
)
ξ
)
d
τ
d
ξ
d
t
2
π
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {-x(1-{\text{CDF}}[{\mathcal {D}},x])+{\text{Mean}}[{\mathcal {D}}]-{\frac {\int _{-\infty }^{x}\int _{-\infty }^{\infty }\int _{0}^{1}t\exp \left(\left(i\left({\text{Median}}[{\mathcal {D}}]+\int _{\frac {1}{2}}^{\tau }{\text{Sparsity}}({\mathcal {D}},s)\,ds-t\right)\right)\xi \right)d\tau d\xi dt}{2\pi }}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Sparsity
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
(
1
−
CDF
[
D
,
x
]
)
+
Mean
[
D
]
−
∫
0
CDF
[
D
,
x
]
(
Median
[
D
]
+
∫
1
2
t
Sparsity
(
D
,
s
)
d
s
)
d
t
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {-x(1-{\text{CDF}}[{\mathcal {D}},x])+{\text{Mean}}[{\mathcal {D}}]-\int _{0}^{{\text{CDF}}[{\mathcal {D}},x]}\left({\text{Median}}[{\mathcal {D}}]+\int _{\frac {1}{2}}^{t}{\text{Sparsity}}({\mathcal {D}},s)\,ds\right)\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Lorenz Curve 1
MeanResidualLifeFunction
(
D
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x
)
=
Mean
[
D
]
(
1
−
LorenzCurve1
(
D
,
x
)
)
SurvivalFunction
[
D
,
x
]
−
x
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}](1-{\text{LorenzCurve1}}({\mathcal {D}},x))}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}-x}
Mean Residual Life Function
Lorenz Curve 1
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
∫
0
∞
t
∂
LorenzCurve1
(
D
,
t
+
x
)
∂
t
t
+
x
d
t
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}]\int _{0}^{\infty }{\frac {t{\frac {\partial {\text{LorenzCurve1}}({\mathcal {D}},t+x)}{\partial t}}}{t+x}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Lorenz Curve 1
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
(
1
−
LorenzCurve1
(
D
,
x
)
)
−
x
+
(
x
Mean
[
D
]
)
∫
−
∞
x
∂
LorenzCurve1
(
D
,
t
)
∂
t
t
d
t
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}](1-{\text{LorenzCurve1}}({\mathcal {D}},x))-x+(x{\text{Mean}}[{\mathcal {D}}])\int _{-\infty }^{x}{\frac {\frac {\partial {\text{LorenzCurve1}}({\mathcal {D}},t)}{\partial t}}{t}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Lorenz Curve 1
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
−
x
+
(
Mean
[
D
]
x
)
∫
−
∞
x
LorenzCurve1
(
D
,
t
)
t
2
d
t
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}]-x+({\text{Mean}}[{\mathcal {D}}]x)\int _{-\infty }^{x}{\frac {{\text{LorenzCurve1}}({\mathcal {D}},t)}{t^{2}}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Lorenz Curve 2
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
(
1
−
LorenzCurve2
(
D
,
CDF
[
D
,
x
]
)
)
SurvivalFunction
[
D
,
x
]
−
x
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}](1-{\text{LorenzCurve2}}({\mathcal {D}},{\text{CDF}}[{\mathcal {D}},x]))}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}-x}
Mean Residual Life Function
Lorenz Curve 2
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
∫
0
∞
t
∂
LorenzCurve2
(
D
,
CDF
[
D
,
t
+
x
]
)
∂
t
t
+
x
d
t
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}]\int _{0}^{\infty }{\frac {t{\frac {\partial {\text{LorenzCurve2}}({\mathcal {D}},{\text{CDF}}[{\mathcal {D}},t+x])}{\partial t}}}{t+x}}\,dt}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Mean Residual Life Function
identical properties
{\displaystyle {\text{identical properties}}}
Mean Residual Life Function
Moment
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
(
1
−
θ
(
x
)
)
−
x
θ
(
−
x
)
+
∑
k
=
0
∞
(
(
−
1
)
k
−
1
δ
(
k
)
(
x
)
)
(
x
Moment
[
D
,
k
+
1
]
+
Moment
[
D
,
k
+
2
]
)
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}](1-\theta (x))-x\theta (-x)+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k-1}\delta ^{(k)}(x)\right)(x{\text{Moment}}[{\mathcal {D}},k+1]+{\text{Moment}}[{\mathcal {D}},k+2])}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Moment
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
θ
(
−
x
)
Mean
[
D
]
+
∑
k
=
0
∞
(
(
−
1
)
k
δ
(
k
)
(
x
)
)
Moment
[
D
,
k
+
2
]
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\theta (-x){\text{Mean}}[{\mathcal {D}}]+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k}\delta ^{(k)}(x)\right){\text{Moment}}[{\mathcal {D}},k+2]}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Central Moment
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
(
1
−
θ
(
x
)
)
−
x
θ
(
−
x
)
+
∑
k
=
0
∞
(
(
−
1
)
k
−
1
δ
(
k
)
(
x
)
)
(
x
∑
j
=
0
k
+
1
(
(
k
+
1
j
)
Mean
[
D
]
k
+
1
−
j
)
CentralMoment
[
D
,
j
]
+
∑
j
=
0
k
+
2
(
(
k
+
2
j
)
Mean
[
D
]
k
+
2
−
j
)
CentralMoment
[
D
,
j
]
)
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}](1-\theta (x))-x\theta (-x)+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k-1}\delta ^{(k)}(x)\right)\left(x\sum _{j=0}^{k+1}\left({\binom {k+1}{j}}{\text{Mean}}[{\mathcal {D}}]^{k+1-j}\right){\text{CentralMoment}}[{\mathcal {D}},j]+\sum _{j=0}^{k+2}\left({\binom {k+2}{j}}{\text{Mean}}[{\mathcal {D}}]^{k+2-j}\right){\text{CentralMoment}}[{\mathcal {D}},j]\right)}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Central Moment
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
θ
(
−
x
)
Mean
[
D
]
+
∑
k
=
0
∞
(
(
−
1
)
k
δ
(
k
)
(
x
)
)
∑
j
=
0
k
+
2
(
(
k
+
2
j
)
Mean
[
D
]
k
+
2
−
j
)
CentralMoment
[
D
,
j
]
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\theta (-x){\text{Mean}}[{\mathcal {D}}]+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k}\delta ^{(k)}(x)\right)\sum _{j=0}^{k+2}\left({\binom {k+2}{j}}{\text{Mean}}[{\mathcal {D}}]^{k+2-j}\right){\text{CentralMoment}}[{\mathcal {D}},j]}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Factorial Moment
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
(
1
−
θ
(
x
)
)
−
x
θ
(
−
x
)
+
∑
k
=
0
∞
(
(
−
1
)
k
−
1
δ
(
k
)
(
x
)
)
(
x
∑
j
=
0
k
+
1
S
k
+
1
(
j
)
FactorialMoment
[
D
,
j
]
+
∑
j
=
0
k
+
2
S
k
+
2
(
j
)
FactorialMoment
[
D
,
j
]
)
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}](1-\theta (x))-x\theta (-x)+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k-1}\delta ^{(k)}(x)\right)\left(x\sum _{j=0}^{k+1}{\mathcal {S}}_{k+1}^{(j)}{\text{FactorialMoment}}[{\mathcal {D}},j]+\sum _{j=0}^{k+2}{\mathcal {S}}_{k+2}^{(j)}{\text{FactorialMoment}}[{\mathcal {D}},j]\right)}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Factorial Moment
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
θ
(
−
x
)
Mean
[
D
]
+
∑
k
=
0
∞
(
(
−
1
)
k
δ
(
k
)
(
x
)
)
∑
j
=
0
k
+
2
S
k
+
2
(
j
)
FactorialMoment
[
D
,
j
]
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\theta (-x){\text{Mean}}[{\mathcal {D}}]+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k}\delta ^{(k)}(x)\right)\sum _{j=0}^{k+2}{\mathcal {S}}_{k+2}^{(j)}{\text{FactorialMoment}}[{\mathcal {D}},j]}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Ascending Factorial Moment
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
(
1
−
θ
(
x
)
)
−
x
θ
(
−
x
)
+
∑
k
=
0
∞
(
(
−
1
)
k
−
1
δ
(
k
)
(
x
)
)
(
x
∑
j
=
0
k
+
1
(
(
−
1
)
k
−
j
−
1
S
k
+
1
(
j
)
)
AscendingFactorialMoment
(
D
,
j
)
+
∑
j
=
0
k
+
2
(
(
−
1
)
k
−
j
S
k
+
2
(
j
)
)
AscendingFactorialMoment
(
D
,
j
)
)
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}](1-\theta (x))-x\theta (-x)+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k-1}\delta ^{(k)}(x)\right)\left(x\sum _{j=0}^{k+1}\left((-1)^{k-j-1}{\mathcal {S}}_{k+1}^{(j)}\right){\text{AscendingFactorialMoment}}({\mathcal {D}},j)+\sum _{j=0}^{k+2}\left((-1)^{k-j}{\mathcal {S}}_{k+2}^{(j)}\right){\text{AscendingFactorialMoment}}({\mathcal {D}},j)\right)}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Ascending Factorial Moment
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
θ
(
−
x
)
Mean
[
D
]
+
∑
k
=
0
∞
(
(
−
1
)
k
δ
(
k
)
(
x
)
)
∑
j
=
0
k
+
2
(
(
−
1
)
k
−
j
S
k
+
2
(
j
)
)
AscendingFactorialMoment
(
D
,
j
)
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\theta (-x){\text{Mean}}[{\mathcal {D}}]+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k}\delta ^{(k)}(x)\right)\sum _{j=0}^{k+2}\left((-1)^{k-j}{\mathcal {S}}_{k+2}^{(j)}\right){\text{AscendingFactorialMoment}}({\mathcal {D}},j)}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Cumulant
MeanResidualLifeFunction
(
D
,
x
)
=
∑
k
=
0
∞
(
(
−
1
)
k
−
1
δ
(
k
)
(
x
)
)
(
BellY
[
k
+
2
,
1
,
Table
[
{
1
,
Cumulant
[
D
,
j
]
}
,
{
j
,
k
+
2
}
]
]
+
x
BellY
[
k
+
1
,
1
,
Table
[
{
1
,
Cumulant
[
D
,
j
]
}
,
{
j
,
k
+
1
}
]
]
)
(
k
+
1
)
!
+
(
1
−
θ
(
x
)
)
Mean
[
D
]
−
x
θ
(
−
x
)
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\sum _{k=0}^{\infty }{\frac {\left((-1)^{k-1}\delta ^{(k)}(x)\right)({\text{BellY}}[k+2,1,{\text{Table}}[\{1,{\text{Cumulant}}[{\mathcal {D}},j]\},\{j,k+2\}]]+x{\text{BellY}}[k+1,1,{\text{Table}}[\{1,{\text{Cumulant}}[{\mathcal {D}},j]\},\{j,k+1\}]])}{(k+1)!}}+(1-\theta (x)){\text{Mean}}[{\mathcal {D}}]-x\theta (-x)}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Cumulant
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
θ
(
−
x
)
Mean
[
D
]
+
∑
k
=
0
∞
(
(
−
1
)
k
δ
(
k
)
(
x
)
)
BellY
[
k
+
2
,
1
,
Table
[
{
1
,
Cumulant
[
D
,
j
]
}
,
{
j
,
k
+
2
}
]
]
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\theta (-x){\text{Mean}}[{\mathcal {D}}]+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k}\delta ^{(k)}(x)\right){\text{BellY}}[k+2,1,{\text{Table}}[\{1,{\text{Cumulant}}[{\mathcal {D}},j]\},\{j,k+2\}]]}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Factorial Cumulant
MeanResidualLifeFunction
(
D
,
x
)
=
Mean
[
D
]
(
1
−
θ
(
x
)
)
−
x
θ
(
−
x
)
+
∑
k
=
0
∞
(
(
−
1
)
k
−
1
δ
(
k
)
(
x
)
)
(
x
BellY
[
k
+
1
,
1
,
Table
[
{
1
,
∑
i
=
1
j
S
j
(
i
)
FactorialCumulant
(
D
,
i
)
}
,
{
j
,
k
+
1
}
]
]
+
BellY
[
k
+
2
,
1
,
Table
[
{
1
,
∑
i
=
1
j
S
j
(
i
)
FactorialCumulant
(
D
,
i
)
}
,
{
j
,
k
+
2
}
]
]
)
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\text{Mean}}[{\mathcal {D}}](1-\theta (x))-x\theta (-x)+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k-1}\delta ^{(k)}(x)\right)\left(x{\text{BellY}}\left[k+1,1,{\text{Table}}\left[\left\{1,\sum _{i=1}^{j}{\mathcal {S}}_{j}^{(i)}{\text{FactorialCumulant}}({\mathcal {D}},i)\right\},\{j,k+1\}\right]\right]+{\text{BellY}}\left[k+2,1,{\text{Table}}\left[\left\{1,\sum _{i=1}^{j}{\mathcal {S}}_{j}^{(i)}{\text{FactorialCumulant}}({\mathcal {D}},i)\right\},\{j,k+2\}\right]\right]\right)}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Factorial Cumulant
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
θ
(
−
x
)
Mean
[
D
]
+
∑
k
=
0
∞
(
(
−
1
)
k
δ
(
k
)
(
x
)
)
BellY
[
k
+
2
,
1
,
Table
[
{
1
,
∑
i
=
1
j
S
j
(
i
)
FactorialCumulant
(
D
,
i
)
}
,
{
j
,
k
+
2
}
]
]
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\theta (-x){\text{Mean}}[{\mathcal {D}}]+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k}\delta ^{(k)}(x)\right){\text{BellY}}\left[k+2,1,{\text{Table}}\left[\left\{1,\sum _{i=1}^{j}{\mathcal {S}}_{j}^{(i)}{\text{FactorialCumulant}}({\mathcal {D}},i)\right\},\{j,k+2\}\right]\right]}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Ascending Factorial Cumulant
MeanResidualLifeFunction
(
D
,
x
)
=
∑
k
=
0
∞
(
(
−
1
)
k
−
1
δ
(
k
)
(
x
)
)
(
BellY
[
k
+
2
,
1
,
Table
[
{
1
,
∑
i
=
0
j
(
(
−
1
)
j
−
i
S
j
(
i
)
)
AscendingFactorialCumulant
(
D
,
i
)
}
,
{
j
,
k
+
2
}
]
]
+
x
BellY
[
k
+
1
,
1
,
Table
[
{
1
,
∑
i
=
0
j
(
(
−
1
)
j
−
i
S
j
(
i
)
)
AscendingFactorialCumulant
(
D
,
i
)
}
,
{
j
,
k
+
1
}
]
]
)
(
k
+
1
)
!
+
(
1
−
θ
(
x
)
)
Mean
[
D
]
−
x
θ
(
−
x
)
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {\sum _{k=0}^{\infty }{\frac {\left((-1)^{k-1}\delta ^{(k)}(x)\right)\left({\text{BellY}}\left[k+2,1,{\text{Table}}\left[\left\{1,\sum _{i=0}^{j}\left((-1)^{j-i}{\mathcal {S}}_{j}^{(i)}\right){\text{AscendingFactorialCumulant}}({\mathcal {D}},i)\right\},\{j,k+2\}\right]\right]+x{\text{BellY}}\left[k+1,1,{\text{Table}}\left[\left\{1,\sum _{i=0}^{j}\left((-1)^{j-i}{\mathcal {S}}_{j}^{(i)}\right){\text{AscendingFactorialCumulant}}({\mathcal {D}},i)\right\},\{j,k+1\}\right]\right]\right)}{(k+1)!}}+(1-\theta (x)){\text{Mean}}[{\mathcal {D}}]-x\theta (-x)}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Ascending Factorial Cumulant
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
θ
(
−
x
)
Mean
[
D
]
+
∑
k
=
0
∞
(
(
−
1
)
k
δ
(
k
)
(
x
)
)
BellY
[
k
+
2
,
1
,
Table
[
{
1
,
∑
i
=
0
j
(
(
−
1
)
j
−
i
S
j
(
i
)
)
AscendingFactorialCumulant
(
D
,
i
)
}
,
{
j
,
k
+
2
}
]
]
(
k
+
1
)
!
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\theta (-x){\text{Mean}}[{\mathcal {D}}]+\sum _{k=0}^{\infty }{\frac {\left((-1)^{k}\delta ^{(k)}(x)\right){\text{BellY}}\left[k+2,1,{\text{Table}}\left[\left\{1,\sum _{i=0}^{j}\left((-1)^{j-i}{\mathcal {S}}_{j}^{(i)}\right){\text{AscendingFactorialCumulant}}({\mathcal {D}},i)\right\},\{j,k+2\}\right]\right]}{(k+1)!}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Moment Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
1
2
(
Mean
[
D
]
−
x
)
−
F
τ
[
MomentGeneratingFunction
[
D
,
i
τ
]
τ
2
]
(
−
x
)
2
π
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\frac {1}{2}}({\text{Mean}}[{\mathcal {D}}]-x)-{\frac {{\mathcal {F}}_{\tau }\left[{\frac {{\text{MomentGeneratingFunction}}[{\mathcal {D}},i\tau ]}{\tau ^{2}}}\right](-x)}{\sqrt {2\pi }}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Moment Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
∫
x
∞
t
(
F
τ
[
MomentGeneratingFunction
[
D
,
i
τ
]
]
(
−
t
)
)
d
t
2
π
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\int _{x}^{\infty }t\left({\mathcal {F}}_{\tau }[{\text{MomentGeneratingFunction}}[{\mathcal {D}},i\tau ]](-t)\right)\,dt}{{\sqrt {2\pi }}{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Moment Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
2
∫
x
∞
t
(
F
τ
[
MomentGeneratingFunction
[
D
,
i
τ
]
]
(
−
t
)
)
d
t
2
π
−
(
2
i
)
(
F
τ
[
MomentGeneratingFunction
[
D
,
i
τ
]
τ
]
(
−
x
)
)
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {2\int _{x}^{\infty }t\left({\mathcal {F}}_{\tau }[{\text{MomentGeneratingFunction}}[{\mathcal {D}},i\tau ]](-t)\right)\,dt}{{\sqrt {2\pi }}-(2i)\left({\mathcal {F}}_{\tau }\left[{\frac {{\text{MomentGeneratingFunction}}[{\mathcal {D}},i\tau ]}{\tau }}\right](-x)\right)}}}
Mean Residual Life Function
Central Moment Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
1
2
(
Mean
[
D
]
−
x
)
−
F
τ
[
e
(
i
τ
)
Mean
[
D
]
CentralMomentGeneratingFunction
[
D
,
i
τ
]
τ
2
]
(
−
x
)
2
π
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\frac {1}{2}}({\text{Mean}}[{\mathcal {D}}]-x)-{\frac {{\mathcal {F}}_{\tau }\left[{\frac {e^{(i\tau ){\text{Mean}}[{\mathcal {D}}]}{\text{CentralMomentGeneratingFunction}}[{\mathcal {D}},i\tau ]}{\tau ^{2}}}\right](-x)}{\sqrt {2\pi }}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Central Moment Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
∫
x
∞
t
(
F
τ
[
e
(
i
τ
)
Mean
[
D
]
CentralMomentGeneratingFunction
[
D
,
i
τ
]
]
(
−
t
)
)
d
t
2
π
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\int _{x}^{\infty }t\left({\mathcal {F}}_{\tau }\left[e^{(i\tau ){\text{Mean}}[{\mathcal {D}}]}{\text{CentralMomentGeneratingFunction}}[{\mathcal {D}},i\tau ]\right](-t)\right)\,dt}{{\sqrt {2\pi }}{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Central Moment Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
2
∫
x
∞
t
(
F
τ
[
e
(
i
τ
)
Mean
[
D
]
CentralMomentGeneratingFunction
[
D
,
i
τ
]
]
(
−
t
)
)
d
t
2
π
−
(
2
i
)
(
F
τ
[
e
(
i
τ
)
Mean
[
D
]
CentralMomentGeneratingFunction
[
D
,
i
τ
]
τ
]
(
−
x
)
)
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {2\int _{x}^{\infty }t\left({\mathcal {F}}_{\tau }\left[e^{(i\tau ){\text{Mean}}[{\mathcal {D}}]}{\text{CentralMomentGeneratingFunction}}[{\mathcal {D}},i\tau ]\right](-t)\right)\,dt}{{\sqrt {2\pi }}-(2i)\left({\mathcal {F}}_{\tau }\left[{\frac {e^{(i\tau ){\text{Mean}}[{\mathcal {D}}]}{\text{CentralMomentGeneratingFunction}}[{\mathcal {D}},i\tau ]}{\tau }}\right](-x)\right)}}}
Mean Residual Life Function
Cumulant Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
1
2
(
Mean
[
D
]
−
x
)
−
F
τ
[
exp
(
CumulantGeneratingFunction
[
D
,
i
τ
]
)
τ
2
]
(
−
x
)
2
π
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)={\frac {{\frac {1}{2}}({\text{Mean}}[{\mathcal {D}}]-x)-{\frac {{\mathcal {F}}_{\tau }\left[{\frac {\exp({\text{CumulantGeneratingFunction}}[{\mathcal {D}},i\tau ])}{\tau ^{2}}}\right](-x)}{\sqrt {2\pi }}}}{{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Cumulant Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
∫
x
∞
t
(
F
τ
[
exp
(
CumulantGeneratingFunction
[
D
,
i
τ
]
)
]
(
−
t
)
)
d
t
2
π
SurvivalFunction
[
D
,
x
]
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {\int _{x}^{\infty }t\left({\mathcal {F}}_{\tau }[\exp({\text{CumulantGeneratingFunction}}[{\mathcal {D}},i\tau ])](-t)\right)\,dt}{{\sqrt {2\pi }}{\text{SurvivalFunction}}[{\mathcal {D}},x]}}}
Mean Residual Life Function
Cumulant Generating Function
MeanResidualLifeFunction
(
D
,
x
)
=
−
x
+
2
∫
x
∞
t
(
F
τ
[
exp
(
CumulantGeneratingFunction
[
D
,
i
τ
]
)
]
(
−
t
)
)
d
t
2
π
−
(
2
i
)
(
F
τ
[
exp
(
CumulantGeneratingFunction
[
D
,
i
τ
]
)
τ
]
(
−
x
)
)
{\displaystyle {\text{MeanResidualLifeFunction}}({\mathcal {D}},x)=-x+{\frac {2\int _{x}^{\infty }t\left({\mathcal {F}}_{\tau }[\exp({\text{CumulantGeneratingFunction}}[{\mathcal {D}},i\tau ])](-t)\right)\,dt}{{\sqrt {2\pi }}-(2i)\left({\mathcal {F}}_{\tau }\left[{\frac {\exp({\text{CumulantGeneratingFunction}}[{\mathcal {D}},i\tau ])}{\tau }}\right](-x)\right)}}}