Statistics MCQs, Analysis, Software
Time Series Analysis and Forecasting
For the estimation of the secular trend of a time series, the most commonly used method is to fit a straight line $\hat{y} = a+bx$, an exponential curve $\hat{y}=ab^x$, and a second-degree parabola $\hat{y}=a +bx+ cx^2$, etc, where $y$ is the value of a time series variable, $x$ representing the …
Coding Time Variable by Taking Origin at the Beginning Suppose we have time-series data for the years 1990, 1991, 1992, and 1994. We can take the origin of a time series at the beginning and assign $x = 0$ to the first period and $1, 2, 3, …$ to other …
Here we will discuss the multiplicative models and Additive Models. The analysis of a time series is the decomposition of a time series into its different components for their separate study. The process of analyzing a time series is to isolate and measure its various components. We try to answer …
Traditional methods of time series analysis are concerned with decomposing a series into a trend, a seasonal variation, and other irregular fluctuations. Although this approach is not always the best but still useful (Kendall and Stuart, 1996). Components of Time Series The components, by which a time series is composed, …