In this lecture, we wrap up our discussion of the movement from point estimation (sample means) to interval estimation for: (a) estimating absolute performance of a system, (b) estimating relative performance of two systems, and (c) estimating relative performance of more than 2 systems. We then pivot to discussing Variance Reduction Techniques (VRT's), starting with Common Random Numbers (CRN's).
Subscribe to:
Post Comments (Atom)
Popular Posts
-
In this lecture, we go over course policies for the Fall 2022 session of IEE 475.
-
In this lecture, we wrap up the course content in IEE 475. We first do a quick overview of the four variance reduction techniques (VRT's...
-
In this lecture, we introduce the three different simulation methodologies (agent-based modeling, system dynamics modeling, and discrete eve...
-
This lecture section is a cumulative review of material from the semester and is meant to serve as a study guide for students preparing for ...
-
Today's lecture covers the basics of probability (including introduction to measure spaces) and random variables. We also go over some r...
-
In this lecture, we (nearly) finish our coverage of Input Modeling, where the focus of this lecture is on parameter estimation and assessing...
-
In this lecture, we continue to discuss hypothesis testing -- introducing parametric, non-parametric, exact, and non-exact tests and reviewi...
-
This lecture continues to discuss issues related to estimating absolute performance from transient and steady-state simulations (of terminat...
-
In this lecture, we review fundamentals of Discrete Event System (DES) simulation (e.g., entities, resources, activities, processes, delays,...
-
In this lecture, we introduce Industrial and Systems Engineering as a blend of science and engineering that necessitates model building. We ...
No comments:
Post a Comment