Forecasting Models for Non-Scheduled Air Transportation : Statistical Analysis, Machine Learning Methods and Hybrid Forecasting Approaches

Language: English

Published by LAP LAMBERT Academic Publishing, 2026

6209788076 / 9786209788079

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9786209788079

Title
Forecasting Models for Non-Scheduled Air Transportation : Statistical Analysis, Machine Learning Methods and Hybrid Forecasting Approaches
Author
Dashqin Nazarli
Publisher
LAP LAMBERT Academic Publishing
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6209788076
ISBN 13
9786209788079
Item weight
227 grams
Dimensions
220x150x9 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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