Useful tips for everyday
What is Bayesian modeling used for? A Bayesian model is a statistical model where you use probability to represent all uncertainty within the model, both…
What is generalized variance decomposition? The generalized forecast error variance decomposition shows to what extent return variability in one currency market can be explained by…
What are structural causal models? In the philosophy of science, a causal model (or structural causal model) is a conceptual model that describes the causal…
Can Chi-square compare 3 groups? First, when you perform Chi-square test for the three groups together, you will get general idea about the differences between…
What are the classical linear model assumptions? Assumptions of the Classical Linear Regression Model: The regression model is linear, correctly specified, and has an additive…
When to use matched pairs t-test? The matched-pair t-test (or paired t-test or paired samples t-test or dependent t-test) is used when the data from…
What is PCA and when it is used? Principal Component Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality…
What is mean variance skewness kurtosis? Abstract: In the mean-variance-skewness-kurtosis framework, this study solve multiple conflicting and competing portfolio objectives such as maximizing expected return…
When should I use paired t-test? Base Your Decision on How the Data Is Collected That produces a set of paired observations (Before and After…
Why use median instead of mean? When is it applicable? The mean is used for normal number distributions, which have a low amount of outliers.…