Abstract: Traditionally a symmetric quadratic loss function is used in measuring the loss of quality of a product. In such a case the desired target value of a characteristic of the product is equal to the optimal value. In the paper the authors consider an asymmetric loss function in which the loss associated with a deviation from the optimal value depends on the direction. In such a situation, it is necessary to adjust the target value to achieve the minimum loss. The authors examine the relationship between the amount of the adjustment and other factors such as the underlying distribution, the unknown parameters, and the form of the loss function
Loss function asymmetry and forecast optimality: Evidence from individual analysts ’ forecast
This paper investigates the shape of the utility function for losses. From a rational point of view ...
WOS: 000377032200009Most of the published literature on robust design is basically concerned with a ...
The purpose of this paper is to determine the most economic target value of a process. Consider a pr...
asymmetric quality loss function, trade-off problem, process mean, process standard deviation, targe...
based on a quadratic loss-function. This paper introduces an alter-native asymmetric precautionary l...
The authors examine the implications for the optimal interest rate rule that follow from relaxing th...
Whenever we make a prediction we will make an error of a varying degree. What is worse,positive erro...
We investigate conditions under which the value of additional information is diminishing in a settin...
Abstract. The parameter identification for problems where losses arising from overestimation and und...
AbstractThe major emphasis in this paper is to utilize system-theoretic concepts to adapt econometri...
• The choice and design of loss functions is discussed. Particularly when computational methods like...
The quality loss function developed by Genichi Taguchi considers three cases, nominal-thebest, small...
The use of quadratic loss functions has been advocated in quality engineering and experimental desig...
The quality loss function developed by Genichi Taguchi considers three cases, nominal-the-best, smal...
Loss function asymmetry and forecast optimality: Evidence from individual analysts ’ forecast
This paper investigates the shape of the utility function for losses. From a rational point of view ...
WOS: 000377032200009Most of the published literature on robust design is basically concerned with a ...
The purpose of this paper is to determine the most economic target value of a process. Consider a pr...
asymmetric quality loss function, trade-off problem, process mean, process standard deviation, targe...
based on a quadratic loss-function. This paper introduces an alter-native asymmetric precautionary l...
The authors examine the implications for the optimal interest rate rule that follow from relaxing th...
Whenever we make a prediction we will make an error of a varying degree. What is worse,positive erro...
We investigate conditions under which the value of additional information is diminishing in a settin...
Abstract. The parameter identification for problems where losses arising from overestimation and und...
AbstractThe major emphasis in this paper is to utilize system-theoretic concepts to adapt econometri...
• The choice and design of loss functions is discussed. Particularly when computational methods like...
The quality loss function developed by Genichi Taguchi considers three cases, nominal-thebest, small...
The use of quadratic loss functions has been advocated in quality engineering and experimental desig...
The quality loss function developed by Genichi Taguchi considers three cases, nominal-the-best, smal...
Loss function asymmetry and forecast optimality: Evidence from individual analysts ’ forecast
This paper investigates the shape of the utility function for losses. From a rational point of view ...
WOS: 000377032200009Most of the published literature on robust design is basically concerned with a ...