Review On Analysis of Some Time Series Trends

Volume 20 No 9 (2022)

Ankita and Sumit Kumar

DOI: 10.14704/nq.2022.20.9.NQ44703

Abstract

A time series is a set of observations of clear information that things go through reworked long-run estimates. For example, assessing the value of communication during each long period of the year would require the use of a series of periods, which is a collection of perceptions of different information items obtained over time across consistent projections. To illustrate, a number of periods would be used to calculate the variance value of each long period of the calendar year

Keywords

ARIMA, SARIMA, Time Series Forecasting, Additive Model, Multiplicative Model.

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.