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The difference between the two models is the way in which the lifetime variable is censored (informative versus non-informative censoring).
Let X be a lifetime variable with cumulative distribution function (cdf) F, probability density function (pdf) f and finite first and second moments.
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As another perspective of stochastic comparison between lifetime variables, we devoted our attention here to other kinds of stochastic orders which compare the random variables with respect to their 'aging' properties according to the well-known reliability measures of hazard rate and mean residual life.
In this paper, as another perspective of stochastic comparison between lifetime variables, we devoted our attention to other kinds of stochastic orders which compare the random variables with respect to their 'aging' properties according to the well-known reliability measures of hazard rate and mean residual life.
This finding could explain why our analysis identified that only lifetime variables were independently associated with TB infection.
However, differences in timing of psychological IPV (ascertained for a current intimate partnership) and physical and sexual IPV (ascertained as lifetime variables) prevents a strong inference about the relationship between IPV type and type 2 diabetes risk.
In this paper, we use a fixed design local polynomial fitting technique to obtain estimators for the EIT function when the lifetime random variable has an unknown distribution.
The lifetime random variable (X_{1}) is said to have: (i) The increasing [decreasing] likelihood ratio (ILR, DLR) property if f is a log-concave [log-convex] function on the support of (F_{1}).
The lifetime sunburn variable combines exposure intensity and biological response to sun exposure.
The course of neck pain is usually described as episodes occurring over a lifetime with variable degrees of recovery between episodes[ 2, 3, 37].
Therefore, the monotonicity property of the ratio of the mrl functions of two lifetime random variables seems to be important for analysis.
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