The use of deterministic or stochastic models to describe an observable phenomenon is considered to present enormous difficulty when evaluating the subjective parameters. In those cases where randomness cannot be established, or when there are not sufficient data available, it is believed that fuzzy theory is the appropriate approach to the problem. Utilizes the classical stochastic Boltzman model to compare the stochastic and fuzzy techniques. Gives a comparison of a specific case study: the life expectancy of individuals whose causa mortis is affected by poverty.The use of deterministic or stochastic models to describe an observable phenomenon is considered to present enormous difficulty when evaluating the subjective parameters. In those...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
Mortality is generally considered relatively easy to forecast, particularly when the forecasting hor...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
The Lee-Carter model is a useful dynamic stochastic model to represent the evolution of central mort...
ABSTRACT: The overall uncertainty of an aging stochastic system is analyzed through the consideratio...
This paper presents the study and expansion of a dynamic simulation model for aging and death (Hargr...
The problem of statistical inference on the mean lifetime in the presence of vague data is considere...
Abstract: In this paper we explore the life expectancy limits by based on the stochastic modeling of...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
Mortality is generally considered relatively easy to forecast, particularly when the forecasting hor...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System a...
The Lee-Carter model is a useful dynamic stochastic model to represent the evolution of central mort...
ABSTRACT: The overall uncertainty of an aging stochastic system is analyzed through the consideratio...
This paper presents the study and expansion of a dynamic simulation model for aging and death (Hargr...
The problem of statistical inference on the mean lifetime in the presence of vague data is considere...
Abstract: In this paper we explore the life expectancy limits by based on the stochastic modeling of...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...
In this paper, we present a statistical paradigm for discussing and modelling the perception process...