Forecasting Methods in Modern Enterprise Management

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dc.contributor.authorGrzesica, Dariusz
dc.date.accessioned2019-04-15T10:23:03Z
dc.date.available2019-04-15T10:23:03Z
dc.date.issued2017
dc.description.abstractThe aim of the chapter is to describe advanced methods of forecasting used in modern, high-tech enterprises. One of them – the ARMA model considers the strong dependence between the individual observations, used for prediction of time series, characterized by high dynamics of change. Here will be explained the process of selection of its parameters, and method design of the model. Second – harmonic analysis – uses, in turn, the cyclicality of the time series by which to construct the model describing the time series and what is the forecast for future periods. The first method is a group of parametric models, the second one is nonparametric, and both use the nature of a change of time series. The use of these methods will be shown by example.pl
dc.identifier.citationBusiness and non-profit organizations facing increased competition and growing customers' demands : volume 16 : proceedings of the 16th Conference: Tomaszowice, Poland, 19-20 June 2017. Ed. by A. Nalepka, A. Ujwary-Gil. Nowy Sącz : WSB-NLU ; Nowy Targ : Foundation for the Dissemination of Knowledge and Science “Cognitione”, 2017. S. 193-205pl
dc.identifier.isbn978-83-949144-0-0
dc.identifier.urihttp://hdl.handle.net/11199/10510
dc.language.isoenpl
dc.publisherWyższa Szkoła Biznesu - National Louis University in Nowy Sącz and Foundation for the Dissemination of Knowledge and Science “Cognitione”pl
dc.rightsopen accesspl
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Poland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/*
dc.subjectadvanced forecasting methodspl
dc.subjectARMA modelpl
dc.subjectharmonic analysispl
dc.titleForecasting Methods in Modern Enterprise Managementpl
dc.typebookPartpl

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