performance evaluation of universities is an important issue between researchers. classic data envelopment analysis (dea) models with deterministic data have been used by many authors to measure efficiency of universities in different countries. however, dea with stochastic data are, rarely used to measure efficiency of universities. in this paper, input oriented model in stochastic data envelo...

We consider the pricing of life insurance contracts under stochastic mortality and interest rates assumed not independent of each other. Employing themethod of change ofmeasure together with the Bayes’ rule for conditional expectations, solution expressions for the value of common contracts are obtained. A demonstration of how to apply our proposed stochastic modelling approach to value surviva...

This paper studies a generalizedmulti-periodmean–variance portfolio selection problemwithin the game theoretic framework for a defined-contribution pension schememember. Themember is assumed to have a stochastic salary flow and a stochastic mortality rate, and is allowed to invest in a financial market with one risk-free asset and one risky asset. The explicit expressions for the equilibrium in...

We consider hazard (mortality) rates in heterogeneous populations consisting of ordered (in the defined stochastic sense) subpopulations. This setting can be interpreted via the fixed frailty models with one or more frailty parameters. The shape of the hazard rate is of main interest in this paper. Specifically, the deceleration and leveling off in the hazard rates (mortality plateaus) are disc...

1 Spatially-structured population dynamics models are important management tools for 2 harvested, highly mobile species and while conventional mark-recovery experiments remain 3 useful for estimation of various demographic parameters of these models, archival tagging 4 experiments are becoming an important data source for analyzing migratory behavior of 5 mobile marine species. We provide a lik...

A single ‘best’ model to predict mortality and understand longevity risk exists only in theory. However, our research and tests conducted on four stochastic mortality models reveals the strengths and weaknesses of each model’s predictive capabilities while simultaneously analyzing how parameters can be set to appropriately smooth and massage the input data. However, just being able to model lon...

An impact of environment on mortality rates is often modeled by a proportional hazards model. This model describes the memory-less property, when the mortality rate at a given instant of time depends only on current environment and does not depend on a history. In the presence of aging (degradation) this assumption is usually unrealistic and historydependent models should be considered. The sim...

A stochastic dynamic population model for the complete life cycle of northern corn rootworm, Diabrotica barberi Smith & Lawrence, is described. Adult population dynamics from emergence to oviposition are based on a published single-season model for which temperature-dependent development and age-dependent advancement determine adult population dynamics and oviposition. Randomly generated daily ...