9781265462819-126546281X-Loose Leaf for Introduction to Management Science and Business Analytics: A Modeling and Case Studies, 7th edition

Loose Leaf for Introduction to Management Science and Business Analytics: A Modeling and Case Studies, 7th edition

ISBN-13: 9781265462819
ISBN-10: 126546281X
Edition: 7th
Author: Frederick S. Hillier, Mark S. Hillier
Publication date: 2022
Publisher: McGraw-Hill Higher Ed.
Format: Loose Leaf 768 pages
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ISBN-13: 9781265462819
ISBN-10: 126546281X
Edition: 7th
Author: Frederick S. Hillier, Mark S. Hillier
Publication date: 2022
Publisher: McGraw-Hill Higher Ed.
Format: Loose Leaf 768 pages

Summary

Loose Leaf for Introduction to Management Science and Business Analytics: A Modeling and Case Studies, 7th edition (ISBN-13: 9781265462819 and ISBN-10: 126546281X), written by authors Frederick S. Hillier, Mark S. Hillier, was published by McGraw-Hill Higher Ed. in 2022. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Loose Leaf for Introduction to Management Science and Business Analytics: A Modeling and Case Studies, 7th edition (Loose Leaf, Used) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $4.03.

Description

This listing is for the loose-leaf text only (no access code included). Hiller's Management Science and Business Analytics: A Modeling and Case Studies Approach with Spreadsheets, 7e in its newest edition introduces both Management Science and Business Analytics in chapter 1 emphasizing the close relationship between them. The new Chapter 2 is an overview of how MS and BA professionals analyze problems and their similarities, chapter 3 is a new chapter on the role of data mining, clustering classification prediction methodology, some algorithms for implementing this methodology, a powerful SW package for data mining and more. Chapter 4 will continue to focus on key techniques of Business Analytics to complete part 1 of the text and the final chapters are focused on Prescriptive and Predictive Analytics based on models based on Linear programming models, Other Certainty Models, and Uncertainty Models.

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