Linear Optimization with Applications

Uma boa página sobre programação linear

Uma boa página sobre programação linear

  1. Introduction & Summary
  2. Optimization-Modeling Process
  3. Ingredients of Optimization Problems and Their Classification
  4. Linear Programming (LP)
  5. Dual Problem: Its Construction and Economics Implications
  6. Learning From the Optimal Strategy
  7. Goal-Seeking Problem
  8. Exercise Your Knowledge to Enhance What You Have Learned (PDF)
  9. Linear Optimization Solvers to Download (free-of-charge),

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Tools for Decision Analysis

Teoria de Decisão

Teoria de Decisão

  1. Introduction & Summary
  2. Probabilistic Modeling: From Data to a Decisive Knowledge
  3. Decision Analysis: Making Justifiable, Defensible Decisions
  4. Elements of Decision Analysis Models
  5. Decision Making Under Pure Uncertainty: Materials are presented in the context of Financial Portfolio Selections.
  6. Limitations of Decision Making under Pure Uncertainty
  7. Coping with Uncertainties
  8. Decision Making Under Risk: Presentation is in the context of Financial Portfolio Selections under risk.
  9. Making a Better Decision by Buying Reliable Information: Applications are drawn from Marketing a New Product.
  10. Decision Tree and Influence Diagram
  11. Why Managers Seek the Advice From Consulting Firms
  12. Revising Your Expectation and its Risk
  13. Determination of the Decision-Maker’s Utility
  14. Utility Function Representations with Applications
  15. A Classification of Decision Maker’s Relative Attitudes Toward Risk and Its Impact
  16. The Discovery and Management of Losses
  17. Risk: The Four Letters Word
  18. Decision’s Factors-Prioritization & Stability Analysis
  19. Optimal Decision Making Process
  20. JavaScript E-labs Learning Objects
  21. A Critical Panoramic View of Classical Decision Analysis
  22. Exercise Your Knowledge to Enhance What You Have Learned (PDF)
  23. Appendex: A Collection of Keywords and Phrases

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Leadership Decision Making

Leadership Decision Making

Leadership Decision Making

  1. Introduction and Summary
  2. How People Avoid Making Serious Decisions
  3. When One Should Not Make Serious Decisions
  4. How to Make Good Decisions
  5. Decisions Concerning Personal Life
  6. Problem of Determination of Values and Rank among Values
  7. Thinkable Decisions and the Economy of Strategic Thinking
  8. What Is Man? Man Has No Nature, But Has History
  9. How the Mind Works: From Deciding to Action
  10. How to Distinguish among Rumor, Belief, Opinion, and Fact
  11. Leadership versus Managerial’s Duties and Styles
  12. Cognitive Decision Making
  13. Behavioral Decision Making
  14. Ethics and Decision Making
  15. Leadership in a Diverse and Multicultural Environmen
  16. Human Side of Decision Making
  17. Personal and Public Views of Rationality
  18. Human Understanding in a Historical Context
  19. General Further Readings
  20. Appendex: A Collection of Keywords and Phrases

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Introduction to the Science of Making Decisions

introdução às Ciências de Decisão

introdução às Ciências de Decisão

  1. Introduction and Summary
  2. Operations Research, Management Science,
    Decision Science, and Success Science (OR/MS/DS/SS)
  3. What Is OR/MS/DS/SS?
  4. Historical Needs for OR/MS/DS/SS
  5. The Nature and Meaning of OR/MS/DS/SS
  6. The Methodology of OR/MS/DS/SS
  7. The Prototype Applications
  8. Flexibility and Variety of Careers in OR/MS/DS/SS
  9. The Multidisciplinary and Interdisciplinary Nature OR/MS/DS/SS:
  1. Multi-perspective Modeling Process
  2. Classifications of Models: Mechanical, Mental/Verbal, Analytical, and Simulation Models
  3. From Mental Modeling to Analytical Modeling
  4. Decision-Maker’s Environment
  5. Modeling Is At the Heart of Decision-Making Process
  6. Analytical Modeling Process for Decision-Making
  7. Decision-Making Process in Organizations: Dynamic Strategic Plan
  8. The Difficulties of Analytical Modeling Process
  9. Modeling Validation Process
  10. Cost Considerations and Time Discounting Rate Factor
  11. Why Analytical Modeling?
  12. A Guide to Carrying Out the Modeling Process
  13. The Gaps between Modeling and Implementation
  14. The Becoming of a Management Scientist

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InformaWorld livros e artigos

informaWorld

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Tuturiais Video Linguagem R

videosRA series of R for Statistical Programming screencasts that show you how to use R for Statistical Programming for text mining. R for Statistical Programming data mining, text mining, R for Statistical Programming, neural network, classification, clustering, R for Statistical Programming tutorial, R for Statistical Programming video, knowledge explorer, sentiment mining.

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Statistics Video Tutorials

videos Stats

videos Stats

Helpful video tutorials on basic statistic.
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Weka Video Tutorials

videos Weka

videos Weka

This videos contains many answers that many people asked about.
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Quick-R

quick-r site for introduction R

quick-r site for introduction R

I created this website for experienced users of popular statistical packages such as SAS, SPSS, Stata, and Systat (although current R users should also find it useful). My goal is to help you quickly access this language in your work.

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Cursos da Stanford Engineering

Standford Courses

Standford On-line Courses

SEE programming includes one of Stanford’s most popular engineering sequences: the three-course Introduction to Computer Science taken by the majority of Stanford undergraduates, and seven more advanced courses in artificial intelligence and electrical engineering.

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