Useful tips for everyday
How does the Engle Granger cointegration test work? The Engle-Granger Cointegration Test The Engle-Granger cointegration test considers the case that there is a single cointegrating…
Are there too many categorical variables in machine learning? Closed 4 years ago. I have a machine learning problem where the dependent variable is binomial…
What is the difference between arithmetic and Geometric Means? Geometric mean is the calculation of mean or average of series of values of product which…
What are the parameters of a Dirichlet distribution? The Dirichlet distribution is a multivariate probability distribution that describes k ≥ 2 variables X 1, …,…
What are the main differences between experimental and non-experimental design? In an experimental design, the researcher actively manipulates one or more variables, and in a…
What is considered a statistically significant change? Statistical significance is a determination by an analyst that the results in the data are not explainable by…
How do you check assumptions for ANOVA? To check this assumption, we can use two approaches: Check the assumption visually using histograms or Q-Q plots.…
What is intercept scaling in logistic regression? The intercept scaling allows to convert the probabilities so that these reflect the initial data before sampling. Base…
How is Cox regression used to calculate hazard ratio? Cox regression. Cox regression is a regression model that enables us to estimate the hazard ratio…
Can ARIMA handle missing data? You can fit ARIMA models with missing values easily because all ARIMA models are state space models and the Kalman…