Traditionally, the Gompertz’s mortality law has been used in studies that show mortality rates continue to increase exponentially with age. The ultimate mortality rate has no maximum limit. In the field of engineering, the reliability theory has been used to measure the hazard-rate function that is dependent on system reliability. Usually, the hazard rate ( H) and the reliability ( R) have a strong negative coefficient of correlation. If reliability decreases with increasing hazard rate, this type of hazard rate can be expressed as a power function of failure probability, R-1. Many satisfactory results were found in quality control research in industrial engineering. In this research, this concept is applied to human mortality rates. The re...
Using standard procedures of demographic methodology, analysts working with mortality data are faced...
When studying mortality changes over time, traditionally comparisons are based on the hazard functio...
The study of events involving an element of time has a long and important history in statistical res...
The paper by Dr. Buettner describes the current methodology for projecting mortality rates above age...
A key goal of gerontology is to discover the factors that influence the rate of senescence, which in...
A key goal of gerontology is to discover the factors that influence the rate of senescence, which in...
In this study, various stochastic approaches to biological aging modeling are discussed. We assume t...
<b>Background</b>: The Gompertz force of mortality (hazard function) is usually expressed in terms o...
In this paper, death probabilities derived from the Gompertz and Wittstein models are used to proje...
Testing the Gompertz law (i.e. law of geometrical progression) for elderly mortality rates has been ...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
Using standard procedures of demographic methodology, analysts working with mortality data are faced...
When studying mortality changes over time, traditionally comparisons are based on the hazard functio...
The study of events involving an element of time has a long and important history in statistical res...
The paper by Dr. Buettner describes the current methodology for projecting mortality rates above age...
A key goal of gerontology is to discover the factors that influence the rate of senescence, which in...
A key goal of gerontology is to discover the factors that influence the rate of senescence, which in...
In this study, various stochastic approaches to biological aging modeling are discussed. We assume t...
<b>Background</b>: The Gompertz force of mortality (hazard function) is usually expressed in terms o...
In this paper, death probabilities derived from the Gompertz and Wittstein models are used to proje...
Testing the Gompertz law (i.e. law of geometrical progression) for elderly mortality rates has been ...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
We defend the hypothesis that life-spanning population survivorship curves, as described by Gompertz...
Using standard procedures of demographic methodology, analysts working with mortality data are faced...
When studying mortality changes over time, traditionally comparisons are based on the hazard functio...
The study of events involving an element of time has a long and important history in statistical res...