query: Why is Stouffer's method often used with one-tailed $p$-values rather than two-tailed $p$-values?
positive_passages.docid: 154818
positive_passages.text: Testing two-tailed p-values using Stouffer's approach
negative_passages.docid: 10647
negative_passages.text: Intuition for why the sum of Bernoulli trials is a sufficient statistic via cancellations on numerator and denominator?
negative_passages.docid: 110686
negative_passages.text: For symmetric stable distributions, why is $\alpha \le 2$?
negative_passages.docid: 113792
negative_passages.text: Why is the quasi-Poisson in GLM not treated as a special case of negative binomial?
negative_passages.docid: 156448
negative_passages.text: Evaluate the limit without using the L'Hôpital's rule
negative_passages.docid: 10379
negative_passages.text: Why would parametric statistics ever be preferred over nonparametric?
negative_passages.docid: 42884
negative_passages.text: Kolmogorov-Smirnov two-sample $p$-values
negative_passages.docid: 145624
negative_passages.text: Why does Ridders' method work as well as it does?
negative_passages.docid: 59274
negative_passages.text: Why do cost functions use the square error?
negative_passages.docid: 17522
negative_passages.text: Quasi Poisson vs Negative Binomial
negative_passages.docid: 7337
negative_passages.text: How should tiny $p$-values be reported? (and why does R put a minimum on 2.22e-16?)
negative_passages.docid: 105464
negative_passages.text: Why would someone use a Bayesian approach with a 'noninformative' improper prior instead of the classical approach?
negative_passages.docid: 58079
negative_passages.text: How does $ \sum_{p<x} p^{-s} $ grow asymptotically for $ \text{Re}(s) < 1 $?
negative_passages.docid: 122499
negative_passages.text: Convergence of random variables in probability but not almost surely.
negative_passages.docid: 10013
negative_passages.text: A problem that I'm not sure whether to use Weierstrass Approximation Theorem
negative_passages.docid: 125189
negative_passages.text: When conducting a t-test why would one prefer to assume (or test for) equal variances rather than always use a Welch approximation of the df?
negative_passages.docid: 124758
negative_passages.text: Difference between one-tailed and two-tailed testing?