Time series analysis is used to identify the fluctuation in economics and business . It helps in the evaluation of current achievements. Time series is used in pattern recognition, signal processing, weather forecasting and earthquake prediction.
Read moreWhat are the main components of time series?
An observed time series can be decomposed into three components: the trend (long term direction), the seasonal (systematic, calendar related movements) and the irregular (unsystematic, short term fluctuations) .
Read moreWhat are the types of time series?
Time series data can be classified into two types:
Read moreWhat are the four types of time series?
These four components are:
Read moreWhat are the types of time series forecasting?
Types of time series forecasting methods include:
Read moreWhat are the four patterns of time series analysis?
Identifying Patterns in Time Series Data. Interrupted Time Series . Exponential Smoothing . Seasonal Decomposition (Census I)
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