Rajiv GopinathKey Statistics Terms #4: Standard ErrorThe standard error of the mean, or simply standard error, indicates how different the population mean is likely to be from a sample mean…Sep 21
Christian ThiemeinTowards Data ScienceUnderstanding Linear Regression Output in RConfidently Interpret How Well Your Model Fits the DataMar 12, 20219
Matt LAddressing Heteroskedasticity in Time-Series Modeling with Robust Standard Errors (in Python)When you frequently model millions of time series, see Likely Spurious, you encounter heteroskedasticity quite often. Unfortunately, most…Jul 29Jul 29
Haocheng LinUnderstanding Confidence Intervals with the Central Limit TheoremIntroductionApr 29Apr 29
Rajiv GopinathKey Statistics Terms #4: Standard ErrorThe standard error of the mean, or simply standard error, indicates how different the population mean is likely to be from a sample mean…Sep 21
Christian ThiemeinTowards Data ScienceUnderstanding Linear Regression Output in RConfidently Interpret How Well Your Model Fits the DataMar 12, 20219
Matt LAddressing Heteroskedasticity in Time-Series Modeling with Robust Standard Errors (in Python)When you frequently model millions of time series, see Likely Spurious, you encounter heteroskedasticity quite often. Unfortunately, most…Jul 29
Ashish Arora🎢 Hypothesis Testing: Confidence Interval, Level & Margin of Error🎢In the series of Hypothesis testing, we last discussed the Central limit theorem.Aug 29, 20231
MCMC AddictUncertainty is an essential topic in all disciplines beyond metrologyA message to a metrologist who tends to stick to the definition of a term from his perspectiveMar 171
Albert UmOLS Summary: P-values and Confidence IntervalsIn short, the p-values represent the probability of the coefficient values being 0. The exact coefficients are unknown due to sampling…Jan 29, 20211