Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Usually it does not matter what contrast(s) you use for factors in linear model problems[^20], so you can choose appropriate contrast(s) so that your problem is most …
The prediction error is a trade-off of bias and variance. In statistics, we often talk about unbiased estimators (especially in linear regression). In this case we restrict the estimators/predictors to be in a (small) class, and find the optimal solution in this class (called BLUE or BLUP).
Generally speaking …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
http://www.statsmodels.org/stable/stats.html#module-statsmodels.stats.power
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
in real problems, the true value of (some quantity) are usually unknow/defined, even if we can collect data about it, e.g., Amazon goods, what is the true cost of …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
很多frequentist的inference是基于大样本（近似）理论的，这种情况下样本小的时候Bayesian结论可能会更好。
某些统计量实在太复杂，（近 …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
http://www.stat.umn.edu/geyer/old/5601/examp/tests.html#pv
\(BC_{\alpha}\) confidence interval the way to calculate p-values ...