Анализ и прогнозирование выручки предприятия; Информационные технологии в науке, управлении, социальной сфере и медицине; Ч. 1

Dettagli Bibliografici
Parent link:Информационные технологии в науке, управлении, социальной сфере и медицине: сборник научных трудов IV Международной научной конференции, 5-8 декабря 2017 г., Томск/ Национальный исследовательский Томский политехнический университет (ТПУ).— , 2017
Ч. 1.— 2017.— [С. 210-212]
Autore principale: Кармановская Е. А.
Riassunto:Заглавие с титульного экрана
The technique of time series analysis over a period of several years is considered. The technique consists in constructing a predictive model based on data from previous periods: constructing a model with an additive component or constructing a model with a multiplicative component. Based on the time series structure, one of these models is selected. The additive model is constructed if the amplitude of seasonal oscillations is approximately constant. In the event that the amplitude of the oscillations is variable (increases or decreases), a multiplicative model is constructed.
Lingua:russo
Pubblicazione: 2017
Serie:Информационные технологии и моделирование в экономике
Soggetti:
Accesso online:http://earchive.tpu.ru/handle/11683/46238
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=626036
Descrizione
Riassunto:Заглавие с титульного экрана
The technique of time series analysis over a period of several years is considered. The technique consists in constructing a predictive model based on data from previous periods: constructing a model with an additive component or constructing a model with a multiplicative component. Based on the time series structure, one of these models is selected. The additive model is constructed if the amplitude of seasonal oscillations is approximately constant. In the event that the amplitude of the oscillations is variable (increases or decreases), a multiplicative model is constructed.