Modeling and Simulation of Discrete Event Systems (Dr. Pradeep K. Jha, IIT Roorkee): Lecture 24 - Input Modeling: Multivariate Input Models

Modeling and Simulation of Discrete Event Systems

Modeling and Simulation of Discrete Event Systems. Instructor: Dr. Pradeep K. Jha, Department of Mechanical and Industrial Engineering, IIT Roorkee. The course deals with all the important aspects of discrete event system simulation with particular emphasis on applications in manufacturing, services and computing. This course is meant for an upper level undergraduate or master's level introduction to modeling and simulation techniques for discrete event systems. (from nptel.ac.in)

Lecture 24 - Input Modeling: Multivariate Input Models

In this lecture, joint probability distribution function is introduced. Methods of finding the covariance and correlation between two random variables have been presented.

Go to the Course Home or watch other lectures:

Lecture 01 - Introduction to Simulation

Lecture 02 - Concept of System, Model and Simulation

Lecture 03 - Time Advance Mechanism, Components of a Simulation Model

Lecture 04 - Program Organization and Logic, Steps in a Simulation Study

Lecture 05 - Simulation Examples

Lecture 06 - Statistical Models in Simulation

Lecture 07 - Input Probability Distribution Functions for Discrete Systems

Lecture 08 - Continuous Distribution Functions

Lecture 09 - Continuous Distribution Functions and Empirical Distribution Functions

Lecture 10 - Problem Solving on Statistical Models in Simulation

Lecture 11 - Characteristics of a Queueing System