Cargo Generation Forecasting Models

Time series models of daily cargo generated for two MAC channels are developed. The strong weekly cyclical fluctuation is exploited in developing forecasting models using both past cargo generation and past cargo arrivals as inputs. (Author)

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Brush,John S
Format: Report
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Brush,John S
description Time series models of daily cargo generated for two MAC channels are developed. The strong weekly cyclical fluctuation is exploited in developing forecasting models using both past cargo generation and past cargo arrivals as inputs. (Author)
format Report
fullrecord <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_ADA076136</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ADA076136</sourcerecordid><originalsourceid>FETCH-dtic_stinet_ADA0761363</originalsourceid><addsrcrecordid>eNrjZFB2TixKz1dwT81LLUosyczPU3DLL0pNTiwuycxLV_DNT0nNKeZhYE1LzClO5YXS3Awybq4hzh66KSWZyfEglakl8Y4ujgbmZobGZsYEpAFS1yNl</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>Cargo Generation Forecasting Models</title><source>DTIC Technical Reports</source><creator>Brush,John S</creator><creatorcontrib>Brush,John S ; FRANK J SEILER RESEARCH LAB UNITED STATES AIR FORCE ACADEMY CO</creatorcontrib><description>Time series models of daily cargo generated for two MAC channels are developed. The strong weekly cyclical fluctuation is exploited in developing forecasting models using both past cargo generation and past cargo arrivals as inputs. (Author)</description><language>eng</language><subject>AIR TRANSPORTATION ; CARGO ; ECONOMIC ANALYSIS ; FORECASTING ; INPUT OUTPUT MODELS ; Logistics, Military Facilities and Supplies ; MATHEMATICAL MODELS ; Military Airlift Command ; PE61102F ; STOCHASTIC PROCESSES ; TIME SERIES ANALYSIS ; WUFJSRL2304F164</subject><creationdate>1979</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27546,27547</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA076136$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Brush,John S</creatorcontrib><creatorcontrib>FRANK J SEILER RESEARCH LAB UNITED STATES AIR FORCE ACADEMY CO</creatorcontrib><title>Cargo Generation Forecasting Models</title><description>Time series models of daily cargo generated for two MAC channels are developed. The strong weekly cyclical fluctuation is exploited in developing forecasting models using both past cargo generation and past cargo arrivals as inputs. (Author)</description><subject>AIR TRANSPORTATION</subject><subject>CARGO</subject><subject>ECONOMIC ANALYSIS</subject><subject>FORECASTING</subject><subject>INPUT OUTPUT MODELS</subject><subject>Logistics, Military Facilities and Supplies</subject><subject>MATHEMATICAL MODELS</subject><subject>Military Airlift Command</subject><subject>PE61102F</subject><subject>STOCHASTIC PROCESSES</subject><subject>TIME SERIES ANALYSIS</subject><subject>WUFJSRL2304F164</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1979</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZFB2TixKz1dwT81LLUosyczPU3DLL0pNTiwuycxLV_DNT0nNKeZhYE1LzClO5YXS3Awybq4hzh66KSWZyfEglakl8Y4ujgbmZobGZsYEpAFS1yNl</recordid><startdate>197910</startdate><enddate>197910</enddate><creator>Brush,John S</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>197910</creationdate><title>Cargo Generation Forecasting Models</title><author>Brush,John S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA0761363</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1979</creationdate><topic>AIR TRANSPORTATION</topic><topic>CARGO</topic><topic>ECONOMIC ANALYSIS</topic><topic>FORECASTING</topic><topic>INPUT OUTPUT MODELS</topic><topic>Logistics, Military Facilities and Supplies</topic><topic>MATHEMATICAL MODELS</topic><topic>Military Airlift Command</topic><topic>PE61102F</topic><topic>STOCHASTIC PROCESSES</topic><topic>TIME SERIES ANALYSIS</topic><topic>WUFJSRL2304F164</topic><toplevel>online_resources</toplevel><creatorcontrib>Brush,John S</creatorcontrib><creatorcontrib>FRANK J SEILER RESEARCH LAB UNITED STATES AIR FORCE ACADEMY CO</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Brush,John S</au><aucorp>FRANK J SEILER RESEARCH LAB UNITED STATES AIR FORCE ACADEMY CO</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Cargo Generation Forecasting Models</btitle><date>1979-10</date><risdate>1979</risdate><abstract>Time series models of daily cargo generated for two MAC channels are developed. The strong weekly cyclical fluctuation is exploited in developing forecasting models using both past cargo generation and past cargo arrivals as inputs. (Author)</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_dtic_stinet_ADA076136
source DTIC Technical Reports
subjects AIR TRANSPORTATION
CARGO
ECONOMIC ANALYSIS
FORECASTING
INPUT OUTPUT MODELS
Logistics, Military Facilities and Supplies
MATHEMATICAL MODELS
Military Airlift Command
PE61102F
STOCHASTIC PROCESSES
TIME SERIES ANALYSIS
WUFJSRL2304F164
title Cargo Generation Forecasting Models
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T08%3A03%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-dtic_1RU&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.btitle=Cargo%20Generation%20Forecasting%20Models&rft.au=Brush,John%20S&rft.aucorp=FRANK%20J%20SEILER%20RESEARCH%20LAB%20UNITED%20STATES%20AIR%20FORCE%20ACADEMY%20CO&rft.date=1979-10&rft_id=info:doi/&rft_dat=%3Cdtic_1RU%3EADA076136%3C/dtic_1RU%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true