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Forecasting Models for Non-Scheduled Air Transportation

Forecasting Models for Non-Scheduled Air Transportation

Paperback

Management

ISBN10: 6209788076
ISBN13: 9786209788079
Publisher: LAP Lambert Academic Publishing
Published: Mar 12 2026
Pages: 140
Weight: 0.43
Height: 0.33 Width: 6.00 Depth: 9.00
Language: English
This book focuses on the development and application of modern forecasting models for non-scheduled passenger air transportation. Several quantitative approaches are analyzed, including regression models, ARIMA stochastic models, Support Vector Machine (SVM) methods, fuzzy forecasting models, and hybrid forecasting techniques. The research presented in this book aims to analyze the effectiveness of different forecasting approaches and to identify models that provide higher forecasting accuracy. The findings may be useful for researchers, aviation specialists, transport analysts, and students interested in aviation systems and forecasting methods.

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