Cover of Data, models, and decisions

Data, models, and decisions

"Data, Models, and Decisions: The Fundamentals of Management Science combines topics from two traditionally distinct quantitative subjects, probability/statistics and management science, into one unified treatment of quantitative methods and models for management and business. The book stresses those fundamental concepts that the authors believe are most important for the practical analysis of management decisions. It focuses on modeling and evaluating uncertainty explicitly, understanding the dynamic nature of decision making, using historical data and limited information effectively, simulating complex systems, and allocating scarce resources optimally."—Jacket.

Audience
adult
Length
long · 530 pages

Click a tag to see books like this one that share it. Point at it (on a phone, tap it) for less of it instead.

Read it? Sign in to help tag it.

Liked Data, models, and decisions? Here’s where I’d start.

These suit anyone who liked Data, models, and decisions. Sign in and mark a few books for picks shaped around your own taste.

  1. Public administration Shares decision making
  2. Managerial Economics: Principles and Worldwide Application: Shares decision making
  3. Fear: Trump in the White House Shares decision making
  4. Malcolm X Shares decision making

“If you want more of the same (business), start with these.”

  1. Thinking with Data
  2. Crafting & Executing Strategy: The Quest for Competitive Advantage: Concepts and Cases
  3. Candlestick Charting For Dummies®
  4. Accounting Information Systems

“If it was the decision making that hooked you, try one of these.”

  1. A primer for policy analysis
  2. Decision Management
  3. University architecture
  4. Why smart people do dumb things

“These start from a similar idea, even if they go somewhere else with it.”

  1. An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised
  2. Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
  3. Probability and Statistics for Computer Scientists, Second Edition
  4. Statistics and Data Analysis for Financial Engineers