نتایج جستجو برای: utility function estimation
تعداد نتایج: 1564088 فیلتر نتایج به سال:
uncertainty in the financial market will be driven by underlying brownian motions, while the assets are assumed to be general stochastic processes adapted to the filtration of the brownian motions. the goal of this study is to calculate the accumulated wealth in order to optimize the expected terminal value using a suitable utility function. this thesis introduced the lim-wong’s benchmark fun...
There is a growing recognition that discrete choice models are capable of providing a more realistic picture of route choice behavior. In particular, influential factors other than travel time that are found to affect the choice of route trigger the application of random utility models in the route choice literature. This paper focuses on path-based, logit-type stochastic route choice models, i...
nowadays multicriteria decision making (mcdm) methods are a useful tool for investigating natural resources and toaddress problems related to hydro systems. the goal of this research was to assess the daliri standardization method(dsm) to prioritize and make selections for application to mcdm. and to compare the dsm method with the utilityadditive (uta) method. the (dsm) method, unlike the (uta...
D’Alessandro’s (2010) model investigates the impact of total government spending on private consumption but according to Barro’s (1981) suggestion, the impact of two groups of government spending on private consumption can be studied separately. The fist group produces utility affecting services for household and the second group is as an input in the private production process. So in the pre...
A utility function is an important tool for representing a DM’s preference. We adjoin utility functions to multi-objective optimization problems. In current studies, usually one utility function is used for each objective function. Situations may arise for a goal to have multiple utility functions. Here, we consider a constrained multi-objective problem with each objective having multiple utili...
The maximum entropy principle can be used to assign utility values when only partial information is available about the decision maker’s preferences. In order to obtain such utility values it is necessary to establish an analogy between probability and utility through the notion of a utility density function. In this paper we explore the maximum entropy principle to estimate the utility functio...
the most commonly used utility functional forms are reviewed and their properties compared. then, using data collected from west azarbaijan province, utility functions are estimated and absolute risk aversion coefficients measured. exponential and expopower utility functions classified all farmers as risk averse, but quadratic and cubic utility functions classified 75% and 65% of farmers as...
In this paper we propose a utility function and obtain the Bayese stimate and the optimum sample size under this utility function. This utility function is designed especially to obtain the Bayes estimate when the posterior follows a gamma distribution. We consider a Normal with known mean, a Pareto, an Exponential and a Poisson distribution for an optimum sample size under the propose...
Construction time and overruns for infrastructure projects have been frequently studied; however, the construction of power plants has not studied. This lack study is problematic, as more renewable energy plants, such wind solar, are planned many jurisdictions. Accurately estimating a plant will assist planning, budget estimates, policy development encouraging use sources. The times utility sca...
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