Answer:
C. Time series
Explanation:
The time series refers to the frequency of data points in statistics, signal processing, econometrics and mathematical finance, and is typically measured at regular time intervals in successive time fields. An example of a time series, ISE daily closing value of the index or the annual flow volume of the Kizilirmak River in Turkey (flow rate) given. There are several methods to get time series analysis, meaningful statistics and other statistics of the data. Time series prediction is the conceptual model of predicting future events based on previously known events. An example of time series estimation in econometrics is to predict the opening price of a stock based on their previous performance (performance). The methods of time series analysis can be divided into two classes: frequency domain (frequency space) and time domain methods. While it includes spectral analysis (spectrum analysis) previously, it also includes wavelet analysis.
