A Course in Simulation

By S. Ross. 1990

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods (2019, methodology): “The CV method [31, 32] is a technique for synthesizing unbiased estimates of E[X] that potentially have lower variance than the naive sample estimate X .”
Some New Perspectives on the Method of Control Variates (2002, unknown): “For additional discussion of the basic ideas underlying the method of control variates (as well as a range of diﬀerent applications in which the idea is relevant), see, for example, [12], [4], [11], or [6].”
Time prediction based on process mining (2011, background): “, books explaining statistical hypothesis testing in the context of simulation [20, 25].”
Rheological stratification in experimental free-surface flows of granular–liquid mixtures (2005, methodology): “Realizations of this process are straightforward to generate using typical Monte-Carlo methods (see e.g. Ross 1990).”
The Balakrishnan skew–normal density (2008, methodology): “For example, by Theorem 1, we use the acceptance–rejection technique as follows, see Ross (1991) :”
Discovering simulation models (2009, unknown): “In parallel to the development of simulation tools and embedding simulation capabilities in larger systems, the analysis of simulation data and the setting up of experiments was investigated in detail [31, 32, 37, 40, 47].”