Forecasting Revenues and Direct Costs with Time Series Models in an Infrastructure Network Company
No Thumbnail Available
URL
Journal Title
Journal ISSN
Volume Title
School of Business |
Master's thesis
Authors
Date
2020
Department
Major/Subject
Mcode
Degree programme
Information and Service Management (ISM)
Language
en
Pages
85 + 22
Series
Description
Thesis advisor
Seppälä, TomiKeywords
time series analytics, ARIMA, exponential smoothing, forecasting, percentage of completion, infrastructure network industry