The statistical variance of total project cost is usually estimated by means of Monte Carlo simulation on the … component costs are analyzed to obtain the required total cost variance. The results confirm previous work in showing that the … approximation of the second moment (variance) under the assumption of independence considerably underestimates the exact value. The …

the complete risk management process. An Example from a mechanical engineering company is used for the final validation of …

, inflation, unemployment, foreign direct investment and exchange rate. Correlation analyses and regression analyses were done …

and com-modity price levels and volatilities emphasize the importance of risk management to ethanol investors. This paper … uses an insurance approach to outline a risk management tool which mimics the gross margin level of a typical corn …

, supermodularity, monotone comparative statics, background risk, game theory, rationalizability, iterated strict dominance multi …This half-semester course discusses decision theory and topics in game theory. We present models of individual decision …-making under certainty and uncertainty. Topics include preference orderings, expected utility, risk, stochastic dominance …

The contribution deals with the relation between agricultural production and risk factors. This relation was studied in …. Risk is a natural companion of all business activities, risk cannot be excluded but its impact on the production can be … reduced. Risk can grow into a problem and its solution always involves higher expenses. …

future costs. For risk management purposes, what is most useful is the representation of future costs in the form of a …. This confirms previous work in showing that the estimated second moment (variance) is considerably different when using the …. This shows how a unique project rate variance can be calculated for an individual future project, based on relevant data …

Outliers in the data impair traditional estimators of location, variance, and regression parameters so researchers tend … location, scale, linear regression and multiple regression parameters are studied and compared to other estimators existing in … the literature. The concept of data depth is used to propose a new type of estimator for the regression parameters in …

sets simulated for Full Signal Detection Theory and its special cases of standard Signal Detection Theory and Complementary … Signal Detection Theory. …