Parametric cost risk is a statistical phenomena. One first assumes that the cost is defined by C = h(p1,..., pm) where h is a function of the parameters p1,..., pm. Second, one assumes that each of the parameters is a random variable. This applies to a single cost estimating relationship (CER) which might be in the typical Cobb-Douglas form C = p1 q1... pm qm where the qi are the elasticities, or to the sum of n work breakdown structure (WBS) elements pi in the form C = p1 +... + pn. In a complete cost risk simulation the cost of each WBS element would be a function hi of parameters p1,..., pm with the form C = h1(p) +... + hn(p)- 2-where p is the vector p = º
Building a parametric cost model is hard work. The data is noisy and often does not behave like we w...
Today's typical probabilistic cost analysis assumes an ''ideal'' project that is devoid of the human...
This article proposes semiparametric least squares estimation of parametric risk-return relationship...
Parametric cost risk is a statistical phenomena. One first assumes that the cost is defined by C = h...
M.Ing. (Engineering Management)“A robust set of estimates puts a project on a firm footing from day ...
In most cost estimating applications at the NASA Langley Research Center (LaRC), it is desirable to ...
Parametric cost analysis uses equations to map measurable system attributes into cost. The measures ...
Abstract: In this paper we propose a methodology that let us to calculate the variance and covarianc...
Construction projects usually involve high investments. It is, therefore, a risky adventure for com...
To evaluate a "risk " means, from existing data, to compute the probability that a similar...
Value at Risk (VaR) is the regulatory measurement for assessing market risk. It reports the maximum ...
AbstractThe present paper deals with quantifying a wide range of risks through techniques known as V...
Transport infrastructure investment decision making is typically based on a range of inputs such as ...
The use of Monte Carlo simulation in construction cost analysis is of interest to construction profe...
This paper computes parametric estimates of a time-varying risk premium model and compares the one-s...
Building a parametric cost model is hard work. The data is noisy and often does not behave like we w...
Today's typical probabilistic cost analysis assumes an ''ideal'' project that is devoid of the human...
This article proposes semiparametric least squares estimation of parametric risk-return relationship...
Parametric cost risk is a statistical phenomena. One first assumes that the cost is defined by C = h...
M.Ing. (Engineering Management)“A robust set of estimates puts a project on a firm footing from day ...
In most cost estimating applications at the NASA Langley Research Center (LaRC), it is desirable to ...
Parametric cost analysis uses equations to map measurable system attributes into cost. The measures ...
Abstract: In this paper we propose a methodology that let us to calculate the variance and covarianc...
Construction projects usually involve high investments. It is, therefore, a risky adventure for com...
To evaluate a "risk " means, from existing data, to compute the probability that a similar...
Value at Risk (VaR) is the regulatory measurement for assessing market risk. It reports the maximum ...
AbstractThe present paper deals with quantifying a wide range of risks through techniques known as V...
Transport infrastructure investment decision making is typically based on a range of inputs such as ...
The use of Monte Carlo simulation in construction cost analysis is of interest to construction profe...
This paper computes parametric estimates of a time-varying risk premium model and compares the one-s...
Building a parametric cost model is hard work. The data is noisy and often does not behave like we w...
Today's typical probabilistic cost analysis assumes an ''ideal'' project that is devoid of the human...
This article proposes semiparametric least squares estimation of parametric risk-return relationship...