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dc.contributor.authormontasser, saadia H.
dc.date.accessioned2018-08-13T12:03:31Z
dc.date.available2018-08-13T12:03:31Z
dc.date.issued1983-09
dc.identifier.urihttp://repository.inp.edu.eg/xmlui/handle/123456789/4086
dc.description.abstractbeing forecast. In a previous study. in which the author took part , it had been suggested that Gross National' Product at constant prices would be about the most relevant single L variable affecting freight transport needs since most domestic product is physicality distributed within the economy.en_US
dc.language.isootheren_US
dc.publisherThe Institute Of National Planning.en_US
dc.relation.ispartofseriesExternal Notes.;1359
dc.subjectnational freighten_US
dc.subjectDevelopmenten_US
dc.subjectEconomy.en_US
dc.titlepredicting the national freight transport demanden_US
dc.title.alternativean application of multivariate auto regressive moving average time series analysisen_US
dc.typeOtheren_US


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