## Readings

Readings by heading. And comments on them if I've written any.

**On why significance testing (and other broadly frequentist techniques) might be inconsistent with LP**

Berger and Wolpert, *The Likelihood Principle*. Ch. 1, parts of Ch. 2, Ch. 4.4

Notes on Berger and Wolpert, ch. 4.4.2

Grossman, *Statistical Inference*. Ch. 1, ch. 4, some of ch. 7.

Notes on Chapter 7, "Are p-values informative about *H*?"

Berger and Sellke, "Testing a point null hypothesis". Intro and conclusion.

Casella and Berger, "Reconciling Bayesian and frequentist evidence in the one-sided testing problem." Intro and conclusion.

Notes on Berger and Sellke, Casella and Berger

**Some articles I've skimmed about superpopulations in finite population sampling**

Smith 1976, "The foundations of survey sampling: a review."

Royall 1976, "Likelihood functions in finite population sampling theory."

Preliminary thoughts on superpopulation modeling

**Miscellaneous articles for/against significance testing**

Greco 2011, "Significance testing in theory and practice."

McCloskey and Ziliak 2009, "The cult of statistical significance."

Cohen 1994, "The Earth is Round (p<0.5)."

**Longer write-ups**