So Much Data So Little Math

So Much Data So Little Math

Editorial Reviews
Book Description
So Much Data So Little Math is geared for the business community and for employees who are trying to interpret statistics without a background in formal mathematics. The book, relying on the availability of modern software rather than on the reader's math skills, puts trend analysis within reach of everyone. Through a simple method centering on case studies of ordinary business owners, May provides a simple way to learn how to model data. This highly practical text teaches five methods of modeling: regression, correlation, spreadsheets, database systems and neural networks. A must-read for any successful entrepreneur, "So Much Data So Little Math "will also be of great interest to researchers, business students and their instructors.

About the Author
William D. May is a Senior Scientist with the Central Intelligence Agency and an Adjunct Professor of Computer Science at Virginia Tech.

So Much Data So Little Math,William D. May,University Press of America,0761816402,Business / Economics / Finance,Decision Making & Problem Solving,Economics - General,Education,Leadership,Mathematical statistics,Business & Economics / Economics / General,Economics,Business & Economics,Finance

Book Details:

1. Sonatas and Sonatinas Classics to Moderns (Music for Millions)
2. SPIN Selling [Abridged]
3. Stochastic Finance
4. Storytelling
5. Strategic Management of the Health Care Supply Chain
6. Strategic Outsourcing: A Structured Approach to Outsourcing Decisions and Initiatives
7. Streamlined : 14 Principles for Building & Managing the Lean Supply Chain
8. Supercharging Supply Chains: New Ways to Increase Value Through Global Operational Excellence
9. Supply Chain Collaboration: How to Implement CPFRR and Other Best Collaborative Practices (Integrated Business Management Series)
10. Supply Chain Imperative, The: How to Ensure Ethical Behavior in Your Global Suppliers

Book Details

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