#Statistical and Operation Research Computing

Statistical and Operation Research Computing course is nice blend of Statistics and Operation Research methods. Students will learn verity of computing techniques with real world applications in various disciplines.

###Decision Models, Financial Models, Sensitivity Analysis

• Introduction to Decision Modeling
• What-If Modeling
• Goal Seeking
• Tables

###Decision Models, Financial Models, Sensitivity Analysis

• Linear and Integer Programming using Excel/WinQSB/ORMM
• Non-Linear Programming Using Excel/WinQSB/ORMM
• Sensitivity Analysis Using Excel and WinQSB/ORMM
• Sanario Managing in Execl

###Simulation

• Use of Tables
• Use of Distributions

###Queuing Theory

Queuing Theory (Modeling Waiting Lines) Modeling Inventory Decisions Modeling Waiting Lines

###[Descriptive Analysis]

• Tabular Methods
• Graphical Methods
• Numerical Methods

###Parametric and Non-Parametric Inference Data Sets

• One Group comparision
• Two Group comparision
• More than two group comparision

###Time Series Analysis

• Nature of Time Series data
• Components of Time Series
• Auto Regressive Integrated Moving Average Methods
• The ARIMA(p,d,q) Models for Forecasting
• Diagnostics of ARIMA(p,d,q) Models

Excel Files Used in Class Room:

• Ch 8 Unfinesed, Ch 8 Finished

Datasets:

• Comparing Groups

Assignments:

• Assignment 1, A2

Solution:

• S1, S2

Case Studies

Employee Database

Customer Database

breasks Database

Credit Cards

Comparing Groups

Bank Loan

MAINTENANCE

###Recommended Books:

• Hammond, Keeney, Raiffa, Smart Choices: A Practical Guide To Making Better Life Decisions
• Middleton, Decision Analysis Using Microsoft Excel, April 2007
• Taha, H.A. Operations Research, An Introduction, Macmillan Publishig Company, New York, 6th Edition.
• Chernof, and Moses, L. E., Elementary Decision Theory, John Wiley & Sons, Inc. New York.