Analytical statistics : statistical methods, testing for significance /

Mode of access: Internet.

Modern statistical methods; descriptive and inductive,

Mode of access: Internet.

Evaluation of statistical methods used in obtaining broadcast ratings. Report pursuant to section 136 of the legislative reorganization act of 1946, Public law 601, 79th Cong., and House resolution 108, 87th Cong.

Includes bibliography.

Statistical methods used in the measurement of radioactivity with some useful graphs and nomographs /

Mode of access: Internet.

An introduction to statistical methods : a textbook for college students, a manual for statisticians and business executives /

Mode of access: Internet.

Statistical methods in quality control /

Mode of access: Internet.

Statistical models of accidents on interchange ramps and speed-change lanes.

Federal Highway Administration, Office of Safety and Traffic Operations, Washington, D.C.

Statistical views of transportation safety.

Mode of access: Internet.

Accident causation methodology development for the National Accident Sampling System: final report.

National Highway Traffic Safety Administration, Washington, D.C.

Drinking driver and traffic safety project: final report, vol. I.

National Highway Traffic Safety Administration, Washington, D.C.

Drinking driver and traffic safety project, final report: vol. II, probabilities for drinking drivers.

National Highway Traffic Safety Administration, Washington, D.C.

Evaluation methodologies for four federal motor vehicle safety standards. FMVSS 214: side door strength. FMVSS 301: fuel system integrity. FMVSS 215: exterior protection. FMVSS 208: occupant crash protection. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Final design and implementation plan for evaluating the effectiveness of FMVSS 215: exterior protection. Tasks #4 & #5 report.

National Highway Traffic Safety Administration, Washington, D.C.

Rehabilitation system. Analytic study number six.

National Highway Traffic Safety Administration, Washington, D.C.

Why I Am Not a Likelihoodist

Frequentist statistical methods continue to predominate in many areas of science despite prominent calls for "statistical reform." They do so in part because their main rivals, Bayesian methods, appeal to prior probability distributions that arguably lack an objective justification in typical cases. Some methodologists find a third approach called likelihoodism attractive because it avoids important objections to frequentism without appealing to prior probabilities. However, likelihoodist methods do not provide guidance for belief or action, but only assessments of data as evidence. I argue that there is no good way to use those assessments to guide beliefs or actions without appealing to prior probabilities, and that as a result likelihoodism is not a viable alternative to frequentism and Bayesianism for statistical reform efforts in science.