Examples of using Time series data in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
The analysis of the integration of economic and financial time series data by Christopher Sims(1980)
The researchers used annual population-based time series data from 1911 to 2013 which reported per capita alcohol and tobacco consumption.
Forecasting/time series analysis: Time series data is data that is collected at uniformly spaced intervals.
The analysis tool used is multiple linear regression using time series data is 2009-2014.
A moving average is commonly used with time series data to smooth out short-term fluctuations
so there is no time series data, such as social studies related to attitudes,
There are several key concepts that we should be cognizant of when describing time series data.
Decomposition of a time series means identifying and separating the time series data into its components.
Though, higher order moving average processes have been used to model time series data, not much has been said about the properties of their autocorrelation functions.
The trend projection method can then be employed to identify a straight line trend that represents the time series data well.
Statistical refers to an algorithmic strategy that looks for profitable trading opportunities based on the statistical analysis of historical time series data.
The moving average is commonly used with time series data to smooth out the short-term fluctuation and highlights long term trends or cycles.
Definition of moving average: Mean of time series data(observations equally spaced in time)
A moving average is commonly used with time series data to smooth out short-term fluctuations and highlight longer-term trends or cycles.
A moving average is commonly used with time series data to smooth out short-term fluctuations and highlight longer-term trends or cycles.
These models are fitted to time series data either to better understand the data
It is most commonly used for visualizing time series data for infrastructure and application analytics
Economic and financial time series data, are usually known to have a common stochastic trend,
Grafana is most commonly used for visualizing time series data for Internet infrastructure
Time series data, particularly the return of composite stock price index, tend to change rapidly from time to time and also fluctuating,