Category: Learning modules
In the previous article, discussed and interpreted the findings of cost efficiency using constant returns to scale (CRS) Cost Data Envelopment Analysis (DEA).
dea cost efficiency, DEA moduleThe cost efficiency analysis or cost data envelopment analysis or cost DEA is evaluated when information on prices and costs are available from the source of the data collected for input and output variables (Cooper, Seiford, & Zhu, 2011).
dea cost efficiency, DEA moduleOutliers are those data points which are distant from the other observations in the data set. They can be either because of the variability in the data set or due to measurement errors.
detection in supervised learning, Supervised learning, trend analysisThe previous article based on the Dickey-Fuller test established that GDP time series data is non-stationary.
assumption tests in STATA, empirical analysis with econometrics, STATA for data analysis, stationarity test, time series analysisIn statistics, Generalized Least Squares (GLS) is one of the most popular methods for estimating unknown coefficients of a linear regression model when the independent variable is correlating with the residuals.
detection in supervised learning, Supervised learningLinear discriminant model is a multivariate model. It is used for modeling the differences in groups. In this model a categorical variable can be predicted through continuous or binary dependent variable.
classification in supervised learning, Supervised learningMalmquist productivity index evaluates the efficiency change over time as mentioned by Färe, Grosskopf, & Margaritis, (2011). However, Malmquist productivity index literature has been uneven with some authors assuming constant returns to scale and others allowing for variable returns to scale.
DEA module, malmquist dea, result interpretationWhile many statistical methods in machine learning are used either to predict or analyse trends in the data, cluster analysis is used for organizing the data. It is a process of grouping observations of similar kinds within a large population.
correlation in supervised learning, Supervised learning, trend discovery