In this lecture, we will get aware about the concept of Time series and its utility.
In this lecture, two components namely, secular trend and seasonal variation were illustrated.
In this lecture, the remaining two components namely, cyclical variation and Irregular or random variation were illustrated.
In this lecture, we will learn the method of semi-averages to identify the trend in the time series data.
In this lecture, we will learn the method of moving averages to identify the trend in the time series data.
In this lecture, we will illustrate some examples of method of moving averages to identify the trend in the time series data.
In this lecture, we will learn the method of least squares to identify the trend in the time series data.
In this lecture, we will illustrate an example on method of least squares to identify the trend in the time series data.
In this lecture, we will illustrate some examples on method of least squares to identify the trend in the time series data..
In this lecture, we will learn the simple average method to identify the seasonal variation in the time series data.
In this lecture, we will illustrate some examples on the simple average method to identify the seasonal indices in the time series data.