Salīdzināt metodes

	Lifespan Inequality	Lī-Kārtera modelis
Nozare	Demogrāfija	Demogrāfija
Saime	Process / pipeline	Regression model
Izcelsmes gads	2003	1992
Autors	Lifespan-variation literature; life disparity formalized by Vaupel & Canudas-Romo	Ronald Lee & Lawrence Carter
Tips	Measures of variability in the age-at-death distribution	Stochastic mortality forecasting model
Pirmavots	Vaupel, J. W., & Canudas-Romo, V. (2003). Decomposing change in life expectancy: A bouquet of formulas in honor of Nathan Keyfitz's 90th birthday. Demography, 40(2), 201–216.	Lee, R. D., & Carter, L. R. (1992). Modeling and forecasting U.S. mortality. Journal of the American Statistical Association, 87(419), 659–671.
Citi nosaukumi	Lifespan Variation, Life Disparity, Variation in Age at Death	LC Model, Lee-Carter Mortality Model, Singular Value Decomposition Mortality Model, Lee-Carter Ölümlülük Modeli
Saistītās	4	2
Kopsavilkums	Lifespan inequality measures how unequally length of life is distributed within a population — the spread of the life-table ages at death, not just their average. Two populations can share the same life expectancy yet differ sharply in how predictable death is: in one nearly everyone reaches old age, in the other deaths are scattered across all ages. A family of measures — life disparity (e†), the standard deviation of age at death, the life-table Gini coefficient, and Keyfitz entropy — quantifies this dispersion, complementing life expectancy with a measure of how fairly survival is shared.	The Lee-Carter model is a stochastic framework for modeling and forecasting age-specific mortality rates, introduced by Ronald Lee and Lawrence Carter in their landmark 1992 paper. It decomposes the logarithm of age-specific death rates into an age pattern of mortality, a time-varying index of mortality level, and an age-specific sensitivity of that index, then forecasts the time index using ARIMA time-series methods to generate probabilistic mortality projections.