পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Siler Mortality Model× | লি-কার্টার মডেল× | |
|---|---|---|
| ক্ষেত্র | জনমিতি | জনমিতি |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1979 | 1992 |
| প্রবর্তক≠ | William Siler | Ronald Lee & Lawrence Carter |
| ধরন≠ | Parametric three-component competing-hazard model of the full age pattern of mortality | Stochastic mortality forecasting model |
| মৌলিক উৎস≠ | Siler, W. (1979). A competing-risk model for animal mortality. Ecology, 60(4), 750–757. DOI ↗ | Lee, R. D., & Carter, L. R. (1992). Modeling and forecasting U.S. mortality. Journal of the American Statistical Association, 87(419), 659–671. DOI ↗ |
| অপর নাম≠ | Siler Model, Siler Competing-Risk Model, Five-Parameter Siler Hazard | LC Model, Lee-Carter Mortality Model, Singular Value Decomposition Mortality Model, Lee-Carter Ölümlülük Modeli |
| সম্পর্কিত≠ | 4 | 2 |
| সারসংক্ষেপ≠ | The Siler model is a parametric description of the entire age pattern of mortality, from birth to extreme old age, built as the sum of three competing hazards: a high but rapidly declining risk in early life, a roughly constant background risk through the prime adult years, and an exponentially rising risk of senescence. With just five parameters it reproduces the characteristic U-shaped (or bathtub) mortality curve seen across humans and many animal species. Introduced by William Siler in 1979 for animal mortality, it has become a standard tool in paleodemography, anthropological demography, and comparative life-history studies where a smooth full-lifespan mortality law is needed. | 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. |
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