Majority of the quantitative research studies that are undertaken by academician and scholars will be one of three types, which we refer to as duplication, generalization or extension. Duplication research studies take some published research and then repeat it under identical scenario and check if the results obtained are same as in the original research study. In some cases the researcher might just use the original data and reanalyze to […]

Stationarity in Time Series is one of the common assumptions in many of the time series analysis techniques. A stationary time series (or the underlying process) has mean, variance, and autocorrelation structure that do no change over time. Visually, a stationary time series will be a flat looking series, without trend, constant variance over time, a constant autocorrelation structure over time and no periodic fluctuations. In real-life scenarios lot of […]

Time Series is an ordered sequence of values of a variable at equally spaced time intervals. The analysis of time series data using different statistical techniques is called as time series analysis. There are primarily two uses of time series analysis: To obtain an understanding of the underlying forces and structure that produced the observed data. Fit a model and proceed to forecasting, monitoring or even feed-back and feed-forward control. […]