Spreadsheet Modeling & Decision Analysis
eBook - PDF

Spreadsheet Modeling & Decision Analysis

A Practical Introduction to Business Analytics

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Spreadsheet Modeling & Decision Analysis

A Practical Introduction to Business Analytics

About this book

Valuable software, realistic examples, clear writing, and fascinating topics help you master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS, 8E. You'll find everything you need to become proficient in today's most widely used business analytics techniques using Microsoft® Office Excel® 2016. Author Cliff Ragsdale -- respected innovator in business analytics -- guides you through the skills you need, using the latest Excel® for Windows. You gain the confidence to apply what you learn to real business situations with step-by-step instructions and annotated screen images that make examples easy to follow. The World of Management Science sections further demonstrates how each topic applies to a real company.Each new edition includes extended trial licenses for Analytic Solver Platform and XLMiner with powerful simulation and optimization tools for descriptive and prescriptive analytics and a full suite of tools for data mining in Excel.

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Yes, you can access Spreadsheet Modeling & Decision Analysis by Cliff Ragsdale in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Preface
  3. Brief Contents
  4. Contents
  5. Chapter 1: Introduction to Modeling and Decision Analysis
  6. Chapter 2: Introduction to Optimization and Linear Programming
  7. Chapter 3: Modeling and Solving LP Problems in a Spreadsheet
  8. Chapter 4: Sensitivity Analysis and the Simplex Method
  9. Chapter 5: Network Modeling
  10. Chapter 6: Integer Linear Programming
  11. Chapter 7: Goal Programming and Multiple Objective Optimization
  12. Chapter 8: Nonlinear Programming & Evolutionary Optimization
  13. Chapter 9: Regression Analysis
  14. Chapter 10: Data Mining
  15. Chapter 11: Time Series Forecasting
  16. Chapter 12: Introduction to Simulation Using Analytic Solver Platform
  17. Chapter 13: Queuing Theory
  18. Chapter 14: Decision Analysis
  19. Index