A Data Science Central Community

Great textbook about operations research. Particularly useful to the statistician or data scientist who will discover how operations research is similar, and uses the same techniques. I consider it to be part of data science. This textbook is used by Prof Winston at University of Washington in his class *Math 381*, unfortunately I could not locate it on the Web. I 've purchased a copy in a bookstore selling used books. Maybe it is still available at the University of Washington library. Let me know if you find a place selling it. It must have been a great book, it's sold out.

Author: Wayne L. Winston

ISBN # 978-1-133-69107-5

Published by Centage Learning, 2012

642 pages

**Table of Content**

- An Introduction to Model Building
- Introduction to Linear Programming
- Network Models
- Integer Programming
- Review of Calculus and Probability
- Decision Making under Uncertainty
- Deterministic EOQ Models
- Probabilistic Inventory Models
- Markov Chains
- Queuing Theory
- Simulation

Appendix - Cases

Appendix - Answers to Selected Problems

Tags:

© 2020 AnalyticBridge.com is a subsidiary and dedicated channel of Data Science Central LLC Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

- Book: Statistics -- New Foundations, Toolbox, and Machine Learning Recipes
- Book: Classification and Regression In a Weekend - With Python
- Book: Applied Stochastic Processes
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- How to Automatically Determine the Number of Clusters in your Data
- New Machine Learning Cheat Sheet | Old one
- Confidence Intervals Without Pain - With Resampling
- Advanced Machine Learning with Basic Excel
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Fast Combinatorial Feature Selection

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

**Archives:** 2008-2014 |
2015-2016 |
2017-2019 |
Book 1 |
Book 2 |
More

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions