Predictive and Simulation Analytics Deeper Insights for Better Business Decisions /
This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld mult...
שמור ב:
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| מחבר תאגידי: | |
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | אנגלית |
| יצא לאור: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| מהדורה: | 1st ed. 2023. |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1007/978-3-031-31887-0 |
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הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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תוכן הענינים:
- Part 1: The Analytics Quest: The Drive for Rich Information
- 1. Decisions, Information, and Data
- 2. A Systems Perspective
- Part 2: Predictive Analytics: Background
- 3. Information Extraction: Basic Time Series Methods
- 4. Information Extraction: Advanced Time Series Methods
- 5. Information Extraction: Non-Time Series Methods
- 6. Useful Life of a Predictive Model
- Part 3: Simulation Analytics: Background
- 7. Introduction to Simulations
- 8. Designing and analyzing a Simulation
- 9. Random Numbers: The Backbone of Stochastic Simulations
- 10. Examples of Stochastic Simulations: Monte Carlo Simulations
- Part 4: Melding The Two Analytics
- 11. Melding Predictive and Simulation Analytics
- 12. Applications: Operational Scale-View
- 13. Applications: Tactical and Strategic Scale-Views.