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Forecasting Fuel Consumption Requirements for the Air Force Flying Hour Program Using Pooled Time Series Analysis

Name: Forecasting Fuel Consumption Requirements for the Air Force Flying Hour Program Using Pooled Time Series Analysis
Brand: Biblioscholar
SKU: 9781288414710
Price: 88.14 RON
Availability: InStock

Autor: Thomas W Brown

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Legare: Carte broșată

Editura: Biblioscholar

Disponibilitate: În depozitul extern

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The United States Coast Guard uses pooled time series analysis to develop a ship and aviation fuel r...

Informații despre carte

Autor

Thomas W Brown

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2012

Pagini

EAN

9781288414710

ISBN

9781288414710

Enbook ID

08251046

Editura

Biblioscholar

Greutate

132

Dimensiuni

189 x 246 x 3

Descriere completă

The United States Coast Guard uses pooled time series analysis to develop a ship and aviation fuel requirement forecasting model. Given the volatility of aviation fuel prices and the USAF dependency on foreign oil, alternative fuel sources are a serious consideration and require forecasting models when conducting comparison studies. This research uses the Coast Guard's methodology to develop an Air Force aviation fuel requirements model for the Air Force Cost Analysis Agency (AFCAA). By pooling 1,442 historical consumption time series data points, two regression models are developed that predict aviation fuel requirements in gallons. The remaining 356 randomly excluded data points are then used to validate the two regression models. The research shows that 100 percent of the least squares estimated gallons consumed fell within a 95 percent confidence interval for the single and the sub macro-level models. However, the single and sub macro-level models are fundamentally flawed as both fail the underlying linear regression assumptions of normality, constant variance, and independence. Although the research produces two models that predict aviation fuel requirements well, the application of either the single or sub macro-level models are discourage without proper understanding of the underlying statistics provided.

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Forecasting Fuel Consumption Requirements for the Air Force Flying Hour Program Using Pooled Time Series Analysis

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