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Traffic forecasting of Airlines

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Air transport course, address the main forecasting models as seasonlity, trends, econometric, gravity, and logit Models

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Traffic forecasting of Airlines

  1. 1. Air Transport Forecasting 3 Days Course Airlines & Airports Case Studies
  2. 2. Seasonality Model - General Form
  3. 3. Air Transport Forecasting Course
  4. 4. Air Transport Forecasting Course
  5. 5. Case StudySharjah Airport
  6. 6. AIRLINES Samples Forecast
  7. 7. Swiss Airline International
  8. 8. Swiss Airline International
  9. 9. Turkish Airline INPUT DATA
  10. 10. Turkish Airline
  11. 11. BRITISH AIRWAYS INPUT DATA
  12. 12. BRITISH AIRWAYS
  13. 13. Lufthansa INPUT DATA
  14. 14. Lufthansa
  15. 15. Cathay Pacific INPUT DATA
  16. 16. Cathay Pacific R2 = 51.13 %
  17. 17. Air France - KLM INPUT DATA
  18. 18. Air France - KLM
  19. 19. Singapore Airlines
  20. 20. Singapore Airlines
  21. 21. Malaysia Airline
  22. 22. Malaysia Airline
  23. 23. AIRPORTS Samples Forecast- Abu Dhabi Airport- Dubai Airport- Sharjah Airport- Bahrain Airport
  24. 24. - Case Study Abu Dhabi Airport
  25. 25. - Case Study Abu Dhabi Airport – PassengersOneDirection
  26. 26. - Case Study (Input Data Dubai )
  27. 27. - Case Study (Input Data Dubai )
  28. 28. - Case Study
  29. 29. - Case Study Sharjah Airport - Passengers
  30. 30. - Case Study Bahrain Airport -Passengers
  31. 31. - Case Study Bahrain Airport
  32. 32. ContactMohammed Salem AwadConsultantTel: 736255814Email:smartdecision2002@yahoo.com

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