Statistics

Simpson's Paradox is really a Simple Paradox if one at all. Peeling away the paradox is as easy (or hard) as avoiding a comparison of apples and oranges, a concept requiring no mention of causality. We show how the commonly adopted notation has committed the gross-ery mistake of tagging unlike...

Possibly, but more likely you are merely a victim of conventional wisdom. More data or better models by no means guarantee better estimators (e.g., with a smaller mean squared error), when you are not following probabilistically principled methods such as MLE (for large samples) or Bayesian...

The elegant Hartley--Ross inequality on the absolute bias ratio (ABR [reverse not equivalent] Bias /S.E.) of a ordinary ratio estimator is here generalized to that of a separate ratio estimator with stratified sampling. It is shown that, as long as the numerators and denominators used to form...